L. Schomaker c.s., Publications

(There is also a chronological list)

Journal articles

  1. He, S., Wiering, M. & Schomaker, L.R.B. (2015). Junction detection in handwritten documents and its application to writer identification, Pattern Recognition, 48, pp. 4036-4048.

  2. J.-P. van Oosten, and L.R.B. Schomaker (2014). Separability versus Prototypicality in Handwritten Word-Image Retrieval. Pattern Recognition, 47(3), pp. 1031-1038. DOI: 10.1016/j.patcog.2013.09.006 (audioslides)

  3. A.A. Brink, J. Smit, M.L. Bulacu, and L.R.B. Schomaker (2011). Writer identification using directional ink-trace width measurements, Pattern Recognition (july 2011, digital version), doi: 10.1016/j.patcog.2011.07.005

  4. Kootstra, G., de Boer, B. & Schomaker, L.R.B. (2011). Predicting Eye Fixations on Complex Visual Stimuli Using Local Symmetry, Cognitive Computation, 3(1), pp. 1-18.

  5. A.A. Brink, R.M.J. Niels, R.A. van Batenburg, C.E. van den Heuvel & L.R.B. Schomaker (2010). Towards robust writer verification by correcting unnatural slant, Pattern Recognition Letters, 32(3), pp. 449-457, ISSN 0167-8655, doi:10.1016/j.patrec.2010.10.010

  6. Van der Zant, T., Schomaker, L.R.B., Zinger, S. & van Schie, H. (2009). Where are the Search Engines for Handwritten Documents? Interdisciplinary Science Reviews, 34(2-3), pp. 224-235. DOI: 10.1179/174327909X441126

  7. Van der Zant, T., Schomaker, L.R.B., Haak, K. (2008). Handwritten-word spotting using biologically inspired features. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 30(11), pp. 1945-1957.

  8. Bulacu, M. & Schomaker, L.R.B. (2007). Text-independent Writer Identification and Verification Using Textural and Allographic Features, IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), Special Issue - Biometrics: Progress and Directions, April, 29(4), p. 701-717.

  9. Niels, R., Vuurpijl, L. & Schomaker, L.R.B. (2007). Automatic allograph matching in forensic writer identification. International Journal of Pattern Recognition and Artificial Intelligence, 21(1), pp. 61-81, ISSN 0218-0014.

  10. Schomaker, L.R.B., Franke, K. & Bulacu, M. (2007). Using codebooks of fragmented connected-component contours in forensic and historic writer identification, Pattern Recognition Letters, 28(6), p. 719-727.

  11. L. Schomaker & M. Bulacu (2004). Automatic writer identification using connected-component contours and edge-based features of upper-case Western script. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 26(6), June 2004, pp. 787 - 798.

  12. K. Franke & L. Schomaker (2004). Robotic writing trace synthesis and its application in the study of signature line quality. Journal of Forensic Document Examination, 16, pp. 119-146..

  13. Louis Vuurpijl, Lambert Schomaker & Merijn van Erp (2003).
    Architectures for detecting and solving conflicts: two-stage classification and support vector classifiers International Journal on Document Analysis and Recognition (IJDAR) Vol. 5(4), pp. 213 - 223.

  14. Schomaker, L. & Segers, E. (1999). Finding features used in the human reading of cursive handwriting International Journal on Document Analysis and Recognition, 2, 13-18.

  15. Schomaker, L.R.B. (1998). From handwriting analysis to pen-computer applications. IEE Electronics Communication Engineering Journal, 10(3), pp. 93-102.

  16. Vos, P.G., Van Dijk, A. & Schomaker, L.R.B. (1994). Melodic cues for metre. Perception, 23, 965-976.

  17. Helsper E & Schomaker LR (1993). Off-line and on-line handwriting recognition: the role of pen movement in machine reading. Optical Character Recognition in the Historical Discipline: Proceedings of an International Workgroup organized by NHDA and NICI. Goettingen: Max-Planck Institut fuer Geschichte, pp. 39-51.

  18. Teulings, H.L., & Schomaker, L.R.B. (1993). Invariant properties between stroke features in handwriting. Acta Psychologica, 82, 69-88. [pdf]

  19. Helsper, E., Schomaker, L., & Teulings, H.L. (1993). Tools for the recognition of handwritten historical documents. History and Computing, 5(2), 88-93.

  20. Schomaker, L.R.B. (1993). Using Stroke- or Character-based Self-organizing Maps in the Recognition of On-line, Connected Cursive Script. Pattern Recognition , 26(3), 443-450.

  21. Schomaker, L.R.B. (1992). A neural-oscillator model of temporal pattern generation. Human Movement Science, 11, 181-192.

  22. Schomaker, L.R.B. & Plamondon, R. (1990). The Relation between Pen Force and Pen-Point Kinematics in Handwriting. Biological Cybernetics, 63, 277-289.

  23. Van Boxtel, A., Goudswaard, P., & Schomaker, L.R.B. (1984). Amplitude and bandwidth of the frontalis surface EMG: Effects of electrode parameters. Psychophysiology, 21, 699-707.

  24. Van Boxtel, A., & Schomaker, L.R.B. (1984). Influence of motor unit firing statistics on the median frequency of the EMG power spectrum. European Journal of Applied Physiology, 52, 207-213.

  25. Van Boxtel, A., Goudswaard, P., & Schomaker, L.R.B. (1983). Recording methods for the frontalis surface EMG. Psychophysiology, 20, 475.

  26. Van Boxtel, A., Schomaker, L.R.B., Goudswaard, P., & Molen, G.M. van der (1983). Power spectra of surface EMG of facial and jaw-elevator muscles in relation to motor unit firing rate and fatigue. Electroencephalography and Clinical Neurophysiology, 56, 191.

  27. Van Boxtel, A., & Schomaker, L.R.B. (1983). Motor unit firing rate during static contraction indicated by the surface EMG power spectrum. IEEE Transactions on Biomedical Engineering, 30, 601-609.

  28. Boelhouwer, A.J.W., Gregoric, M. Van den Bosch, W.E.J., Schomaker, L.R.B. & Brunia, C.H.M. (1983). Habituation of the human blink reflex: the effect of stimulus frequency and the state of arousal, Physiological Psychology, 10, 325-330.

Reviewed proceedings papers, IEEE published

  1. Wiering, M.A., Van Hasselt, H., Pietersma, A.-D., Schomaker, L. (2011). Reinforcement learning algorithms for solving classification problems, Proc. IEEE SSCI 2011: Symposium Series on Computational Intelligence - ADPRL 2011: 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, artno. 5967372, pp. 91-96.

  2. Bulacu, M., Brink, A., van der Zant, T., Schomaker, L.R.B. (2009). Recognition of handwritten numerical fields in a large single-writer historical collection, Proc. of 10th Int. Conf. on Document Analysis and Recognition (ICDAR 2009), IEEE Computer Society, pp. 808-812, 26 - 29 July, Barcelona, Spain.

  3. Brink, A., Bulacu, M., Schomaker, L.R.B. (2008). How much handwritten text is needed for text-independent writer verification and identification, Proc. of 19th Int. Conf. on Pattern Recognition (ICPR 2008), 8 - 11 December, Tampa, Florida, USA, pp. NA. ISSN: 1051-4651, ISBN: 978-1-4244-2174-9, DOI: 10.1109/ICPR.2008.4761908

  4. Bulacu, M. & Schomaker, L.R.B. (2007). Automatic handwriting identification on medieval documents, Proc. of 14th Int. Conf. on Image Analysis and Processing (ICIAP 2007), IEEE Computer Society, pp. 279-284, 11 - 13 September, Modena, Italy.

  5. Schomaker, L.R.B. (2007) [Invited lecture] Advances in Writer Identification and Verification, Proc. of 9th Int. Conf. on Document Analysis and Recognition (ICDAR 2007), IEEE Computer Society, pp. 1268-1273, vol. 2, 23 - 26 September, Curitiba, Brazil.

  6. Schomaker, L.R.B. (2007). Retrieval of handwritten lines in historical documents, Proc. of 9th Int. Conf. on Document Analysis and Recognition (ICDAR 2007), IEEE Computer Society, pp. 594-598, vol. 2, 23 - 26 September, Curitiba, Brazil.

  7. Brink, A., Schomaker, L.R.B. & Bulacu, M. (2007). Towards explainable writer verification and identification using vantage writers. Proc. of 9th Int. Conf. on Document Analysis and Recognition (ICDAR 2007), IEEE Computer Society, vol. II, pp. 824-828, 23 - 26 September, Curitiba, Brazil.

  8. Bulacu, M., van Koert, R., Schomaker, L.R.B. & van der Zant, T. (2007). Layout analysis of handwritten historical documents for searching the archive of the Cabinet of the Dutch Queen, Proc. of 9th Int. Conf. on Document Analysis and Recognition (ICDAR 2007), IEEE Computer Society, pp. 357-361, vol. 1, 23 - 26 September, Curitiba, Brazil.

  9. Bulacu, M., Schomaker, L.R.B., Brink, A. (2007). Text-independent writer identification and verification on offline Arabic handwriting, Proc. of 9th Int. Conf. on Document Analysis and Recognition (ICDAR 2007) Vol. 2, IEEE Computer Society, pp. 769-773, 23-26 September, Curitiba, Brazil. ISSN: 15205363, ISBN: 0769528228; 978-076952822-9, DOI: 10.1109/ICDAR.2007.4377019

  10. van der Zant, T., Schomaker, L.R.B., Wiering, M. & Brink, A. (2006). Cognitive Developmental Pattern Recognition: Learning to Learn. IEEE SMC 2006, p. 1208-1213.

  11. Bulacu, M., Schomaker, L.R.B. (2005). A comparison of clustering methods for writer identification and verification, Proc. of 8th Int. Conf. on Document Analysis and Recognition (ICDAR 2005), IEEE Computer Society, pp. 1275-1279, vol. II, 29 August - 1 September, Seoul, Korea.

  12. Franke, K. Schomaker, L. Koppen, M. (2005). Pen force emulating robotic writing device and its application, IEEE Workshop on Advanced Robotics and its Social Impacts, 2005. pp. 36-46, ISBN: 0-7803-8947-6, 12-15 June 2005.

  13. Ezaki, N.,Bui Truong Minh, Kiyota, K., Bulacu, M., Schomaker, L.R.B. (2005). Improved text-detection methods for a camera-based text reading system for blind persons, Proc. of 8th Int. Conf. on Document Analysis and Recognition (ICDAR 2005), IEEE Computer Society, pp. 257-261, vol. I, 29 August - 1 September, Seoul, Korea.

  14. L. Schomaker (2004). Anticipation in cybernetic systems: A case against mindless anti-representationalism. Proc. of IEEE Systems, Man & Cybernetics (SMC'04), pp. 2037-2045. ISBN 0-7803-8567-5.

  15. N. Ezaki, M. Bulacu & L. Schomaker (2004). Text detection from natural scene images: Towards a system for visually impaired persons. Proc. of ICPR 2004, Cambridge, UK, IEEE Computer Society, pp. 683-686. ISBN: 0-7695-2128-2.

  16. L. Schomaker, M. Bulacu & K. Franke (2004). Automatic Writer Identication Using Fragmented Connected-Component Contours. In: F. Kimura & H. Fujisawa, Proc. of 9th IWFHR, Japan, Los Alamitos: IEEE Computer Society, pp. 185-190. [pdf] ISBN 0-7695-2187-8.

  17. K. Franke, I. Guyon, L. Schomaker, & L. Vuurpijl (2004). The WandaML markup language for digital document annotation In: F. Kimura & H. Fujisawa, Proc. of 9th IWFHR, Japan, Los Alamitos: IEEE Computer Society, pp. 563-568.

  18. L. Vuurpijl, R. Niels, M. van Erp, L. Schomaker & E. Ratzlaff (2004). Verifying the UNIPEN devset. In: F. Kimura & H. Fujisawa, Proc. of 9th IWFHR, Japan, Los Alamitos: IEEE Computer Society, pp. 586-591.

  19. L. Schomaker, M. Bulacu & M. van Erp (2003). Sparse-parametric writer identification using heterogeneous feature groups. ICIP'2003: IEEE International Conference on Image Processing (Vol. I), pp. (I) 545-548.

  20. M. Bulacu, L. Schomaker & L. Vuurpijl (2003). Writer identification using edge-based directional features. ICDAR'2003: International Conference on Document Analysis and Recognition, pp. 937-941. Piscataway: IEEE Computer, ISBN 0-7695-1960-1

  21. Vuurpijl, L.G., Schomaker, L.R.B., & Van den Broek, E.L. (2002). Vind(x): Using the user through cooperative annotation. Proceedings of the 8th International Workshop on Frontiers in Handwriting Recognition (IWFHR.8) (pp. 221-225). Niagara-on-the-Lake, Canada. Piscataway: IEEE, ISBN 0-7695-1692-0.

  22. van Erp, M., Vuurpijl, L. & Schomaker, L. (2002). An overview and comparison of voting methods for pattern recognition, Proc. of the 8th IWFHR, Piscataway: IEEE, ISBN 0-7695-1692-0, pp. 195-200.

  23. Schomaker, L., Vuurpijl, L. & de Leau, E. (1999). New use for the pen: outline-based image queries. Proceedings of the 5th International Conference on Document Analysis and Recognition (ICDAR '99). Piscataway (NJ): IEEE. pp. 293-296.

  24. Vuurpijl, L. & Schomaker, L. (1997). Finding structure in diversity: A hierarchical clustering method for the categorization of allographs in handwriting, Proceedings of the Fourth International Conference on Document Analysis and Recognition, Piscataway (NJ): IEEE Computer Society, p. 387-393. ISBN 981-02-3084-2

  25. Guyon, I., Schomaker, L., Plamondon, R., Liberman, M. and Janet, S. (1994). UNIPEN project of on-line data exchange and recognizer benchmarks, Proceedings of the 12th International Conference on Pattern Recognition, ICPR'94, pp. 29-33, Jerusalem, Israel, October 1994. IAPR-IEEE.

    Reviewed proceedings papers, with publisher and/or isbn

  26. M. Niitsuma, L.R.B. Schomaker, J.-P. van Oosten, Y. Tomita (2013). Writer Identification in Old Music Manuscripts Using Contour-Hinge Feature and Dimensionality Reduction with an Autoencoder, Computer Analysis of Images and Patterns, Lecture Notes in Computer Science Volume 8048, pp. 555-562, Berlin: Springer.

  27. J.-P. van Oosten, and L.R.B. Schomaker (2012). Separability versus Prototypicality in Handwritten Word Retrieval. Proc. Int. Conference on Frontiers in Handwriting Recognition, September 18-20 2012, Bari, Italy, IEEE Computer Society, pp. 8-13.

  28. T. van der Zant, M. Kouw, L.R.B. Schomaker. (2012). "Generative Artificial Intelligence." In: Vincent C. Müller (Ed.), Theory and Philosophy of Artificial Intelligence, Berlin: Springer, forthcoming. pp. 107-120.

  29. O. Surinta, L. Schomaker and M.A. Wiering (2012). Handwritten Character Classification Using the Hotspot Feature Extraction Technique, International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2012.

  30. A.D. Pietersma, L. Schomaker, and M.A. Wiering (2011). Kernel Learning in Support Vector Machines using Dual-Objective Optimization. BNAIC'11: Belgian Dutch Artificial Intelligence Conference, 2011.

  31. Bhowmik, T.K., Van Oosten, J.-P., Schomaker, L. (2011). Segmental k-means learning with mixture distribution for HMM based handwriting recognition, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6744 LNCS, pp. 432-439

  32. Kootstra, G. & Schomaker, L.R.B. (2009). Prediction of Human Eye Fixations using Symmetry, In N. A. Taatgen & H. van Rijn (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society (CogSci09), July 29 - Aug 1, 2009, Amsterdam, The Netherlands.

  33. Kootstra, G. & Schomaker, L.R.B. (2009). Using Symmetrical Regions-of-Interest to Improve Visual SLAM, Proceedings of the International Conference on Intelligent RObots and Systems (IROS), Oct 11-15, 2009, St. Louis, USA, pp. 930-935.

  34. Kootstra, G. de Jong, S. & Schomaker, L.R.B. (2009). Using Local Symmetry for Landmarks Selection, International Conference on Computer Vision Systems (ICVS), Oct 13-15, 2009, Liege, Belgium, pp. 94-103.

  35. Zinger, S., Nerbonne, J. & Schomaker, L.R.B. (2009). Text-image alignment for historical handwritten documents, In: B.A. Yanikoglu and K. Berkner (Eds.), Proceedings of SPIE - The International Society for Optical Engineering, Document Recognition and Retrieval XVI, 21 January 2009, San Jose, CA, USA, Volume 7247, pp. 724703, DOI: 10.1117/12.805511

  36. Schomaker, L.R.B. (2008). Word mining in a sparsely-labeled handwritten collection, In: B.A. Yanikoglu and K. Berkner (Eds.), Proceedings of Document Recognition and Retrieval XV, IS&T/SPIE International Symposium on Electronic Imaging, pp. 6815-23

  37. Brink, A., van der Klauw, H. & Schomaker, L.R.B. (2008). Automatic removal of crossed-out handwritten text and the effect on writer verification and identification, In: B.A. Yanikoglu and K. Berkner (Eds.), Proceedings of Document Recognition and Retrieval XV, IS&T/SPIE International Symposium on Electronic Imaging, pp. 6815-10

  38. van der Zant, T., Schomaker, L.R.B., Valentijn, E. (2008). Large-scale parallel document-image processing, In: B.A. Yanikoglu and K. Berkner (Eds.), Proceedings of Document Recognition and Retrieval XV, IS&T/SPIE International Symposium on Electronic Imaging, pp. 6815-28

  39. Van der Zant, T., Schomaker, L.R.B., Brink, A.A. (2008). Interactive Evolutionary Computing for the binarization of degenerated handwritten images, In: B.A. Yanikoglu and K. Berkner (Eds.), Proceedings of Document Recognition and Retrieval XV, IS&T/SPIE International Symposium on Electronic Imaging, pp. 6815-6

  40. Bulacu, M. & Schomaker, L.R.B. (2006). Combining multiple features for text-independent writer identification and verification, In: G. Lorette (Ed.) Proc. of 10th International Workshop on Frontiers in Handwriting Recognition (IWFHR 2006), pp. 281-286, 23 - 26 October, La Baule, France. ISBN 2-9527630-0-3.

  41. Bulacu, M., Schomaker, L.R.B. (2005). Text-pose estimation in 3D using edge-direction distributions, Proc. of Int. Conf. on Image Analysis and Recognition (ICIAR 2005): LNCS 3656, Springer, pp. 625-634, 28 - 30 September, Toronto, Canada.

  42. M. Bulacu & L. Schomaker (2004) [abstract] Analysis of texture and connected-component contours for the automatic identification of writers. Proc. of the 16th Belgium-Netherlands Conference on Artificial Intelligence (ISSN: 1568-7805), pp. 371-372.

  43. M. Bulacu & L. Schomaker (2003). Writer Style from Oriented Edge Fragments. In: N. Petkov & M.A. Westenberg (Eds.), LNCS 2756 - Computer Analysis of Images and Patterns, pp. 460-469. [pdf]

  44. K. Franke, L. Schomaker, C. Veenhuis, C. Taubenheim, I. Guyon, L. Vuurpijl, M. van Erp, and G. Zwarts (2003). WANDA: A generic framework applied in forensic handwriting analysis and writer identification. In A. Abraham, M. Koeppen, and K. Franke, editors, Design and Application of Hybrid Intelligent Systems, Proc. 3rd International Conference on Hybrid Intelligent Systems (HIS'03), pages 927-938. Amsterdam: IOS Press.

  45. F. Wiesman, S. Bocconi, B. Arsenijevic, Y. Bachvarova, N. Roos, and L. Schomaker(2003). Intelligent Information Retrieval and Presentation with Multimedia Databases. Proceedings of the Fourth Dutch-Belgian Information Retrieval Workshop (DIR 2003) (ed. A.P. de Vries). pp. 52-56. CWI, Amsterdam.

  46. S. Zinger, J. Nerbonne, L. Schomaker, H. van Schie, Content-based text line comparison for historical document retrieval, Computational Phonology workshop, Recent Advances in Natural Language Processing conference, RANLP-2007, pp. 79-84, Borovets (Bulgaria), September 2007.

  47. L.R.B. Schomaker & L.G. Vuurpijl (Eds.) Proceedings of the Seventh International Workshop on Frontiers in Handwriting Recognition, September 11-13 2000, Amsterdam, Nijmegen: International Unipen Foundation, ISBN 90-76942-01-3, (620 pages, illustrated)

  48. M. van Erp and L. Schomaker (2000). Variants of the Borda count method for combining ranked classifier hypotheses. Proceedings of the Seventh International Workshop on Frontiers in Handwriting Recognition (7th IWFHR), Nijmegen: iUF, p. 443-452.
    ISBN 90-76942-01-3

  49. L. Schomaker, D. Mangalagiu, L. Vuurpijl and M. Weinfeld (2000). Two tree-formation methods for fast pattern search using nearest-neighbour and nearest-centroid matching. Proceedings of the Seventh International Workshop on Frontiers in Handwriting Recognition (7th IWFHR), Nijmegen: iUF, p. 261-270.
    ISBN 90-76942-01-3

  50. Vuurpijl and L. Schomaker (2000). Two-stage character classification: A combined approach of clustering and Support Vector Classifiers Proceedings of the Seventh International Workshop on Frontiers in Handwriting Recognition (7th IWFHR), Nijmegen: iUF, p. 423-432.
    ISBN 90-76942-01-3

  51. F. Wang, L. Vuurpijl and L. Schomaker (2000). Support Vector Machines for the classification of Western Handwritten Capitals Proceedings of the Seventh International Workshop on Frontiers in Handwriting Recognition (7th IWFHR), Nijmegen: iUF, p. 167-176.
    ISBN 90-76942-01-3 [pdf]

  52. Hoenkamp, E.C.M., Stegeman, O., and Schomaker, L.R.B. (1999). Supporting content retrieval from WWW via 'basic level categories'. In Proceedings of the 22rd International Conference on Research and Development in Information Retrieval (pp. 311-312). New York: ACM Press (SIGIR forum, 33 (3)).

  53. Schomaker, L., de Leau, E. & Vuurpijl, L. (1999). Using pen-based outlines for object-based annotation and image-based queries. In: D.P. Huijsmans and A.W.M. Smeulders (Eds.). Visual Information and Information Systems, LNCS 1614, New York: Springer, pp. 585-592.
    HTML version of slides

  54. Schomaker, L., Hoenkamp, E. & Mayberry, M. (1998). Towards collaborative agents for automatic on-line handwriting recognition. Proceedings of the Third European Workshop on Handwriting Analysis and Recognition, 14-15 July, 1998, London: The Institution of Electrical Engineers, Digest Number 1998/440, (ISSN 0963-3308), pp. 13/1-13/6. o (Gzipped Postscript) o (Gzipped Postscript, presentation slides)

  55. Vuurpijl, L. & Schomaker, L. (1998). A framework for using multiple classifiers in a multiple-agent architecture. Proceedings of the Third European Workshop on Handwriting Analysis and Recognition, 14-15 July, 1998, London: The Institution of Electrical Engineers, Digest Number 1998/440, (ISSN 0963-3308), pp. 8/1-8/6

  56. Vuurpijl, L. & Schomaker, L. (1997). Coarse writing-style clustering based on simple stroke-related features. In: A.C. Downton & S. Impedovo, Progress in Handwriting Recognition (pp. 37-34). London: World Scientific. ISBN 981-02-3084-2 [pdf]

  57. Mackowiak, J., Schomaker, L. & Vuurpijl, L. (1997). Semi-automatic determination of allograph duration and position in on-line handwriting words based on the expected number of strokes. In: A.C. Downton & S. Impedovo, Progress in Handwriting Recognition (pp. 69-74). London: World Scientific. ISBN 981-02-3084-2 [pdf]

  58. Schomaker, L.R.B. (1994). User-interface aspects in recognizing connected-cursive handwriting. Proceedings of the IEE Colloquium on Handwriting and Pen-based input, 11 March, London: The Institution of Electrical Engineers, Digest Number 1994/065, (ISSN 0963-3308). o (Gzipped Postscript)

  59. Schomaker, L, Abbink, G. & Selen, S. (1994). Writer and Writing-Style Classification in the Recognition of Online Handwriting. Proceedings of the European Workshop on Handwriting Analysis and Recognition: A European Perspective, 12-13 July, 1994, London: The Institution of Electrical Engineers, Digest Number 1994/123, (ISSN 0963-3308). o (Gzipped Postscript)

  60. Schomaker, L.R.B., & Teulings, H.-L. (1992). Stroke- versus Character-based Recognition of On-line, Connected Cursive Script. In J.-C. Simon & S. Impedovo (Ed.), From Pixels to Features III (pp. 313-325), Amsterdam: North-Holland.

  61. Teulings, H.-L., & Schomaker, L.R.B. (1992). Un-supervised learning of prototype allographs in cursive script recognition using invariant handwriting features. In J.-C. Simon & S. Impedovo (Ed.), From Pixels to Features III (pp. 61-73), Amsterdam: North-Holland.

  62. Schomaker, L.R.B., & Teulings, H.-L. (1990). A Handwriting Recognition System based on the Properties and Architectures of the Human Motor System. Proceedings of the International Workshop on Frontiers in Handwriting Recognition (IWFHR) . (pp. 195-211). Montreal: CENPARMI Concordia. ISBN: 1-895193-00-1. o (Gzipped PostScript

  63. Teulings, H.L., Schomaker, L.R.B., Gerritsen, J., Drexler, H., & Albers, M. (1990). An on-line handwriting-recognition system based on unreliable modules. In R. Plamondon, & G. Leedham (Eds.), Computer Processing of Handwriting (pp. 167-185). Singapore: World Scientific.
    [pdf]

  64. Schomaker, L.R.B., Thomassen, A.J.W.M., & Teulings, H.-L. (1989). A computational model of cursive handwriting. In R. PLamondon, C.Y. Suen, & M.L. Simner (Eds.), Computer Recognition and Human Production of Handwriting (pp. 153-177). Singapore: World Scientific.

  65. Maarse, F.J., Schomaker, L.R.B., & Teulings, H.-L. (1988). Automatic identification of writers. In G.C. van der Veer & G. Mulder (Eds.), Human-Computer Interaction: Psychonomic Aspects (pp. 353-360). New York: Springer.

  66. Teulings, H.L., Schomaker, L.R.B., & Maarse, F.J. (1988). Automatic handwriting recognition and the keyboardless personal computer. In F.J. Maarse, L.J.M. Mulder, W.P.B. Sjouw, & A.E. Akkerman (Eds.), Computers in psychology: Methods, instrumentation, and psychodiagnostics (pp. 62-66). Amsterdam: Swets & Zeitlinger.

  67. Thomassen, A.J.W.M, Teulings, H.-L., Schomaker, L.B.R., Morasso, P., & Kennedy, J. (1988) Towards the implementation of cursive-script understanding in an online handwriting-recognition system. In D.G. XIII (Ed.), ESPRIT '88: Putting the technology to use (pp. 628-639). Amsterdam: North-Holland.

  68. Thomassen, A.J.W.M., Teulings, H.-L., & Schomaker, L.R.B. (1988). Real-time processing of cursive writing and sketched graphics. In G.C. van der Veer & G. Mulder (Eds.), Human-Computer Interaction: Psychonomic Aspects (pp. 334-352). New York: Springer.

  69. Thomassen, A.J.W.M., Teulings, H.L., Schomaker, L.R.B., Morasso, P., & Kennedy, J. (1988). Towards the implementation of cursive-script understanding in an online handwriting-recognition system. In Commission of the European Communities: D.G. XIII (Ed.), ESPRIT '88: Putting the technology to use. Part 1 (pp. 628-639). Amsterdam: North-Holland.

  70. Teulings, H.-L., Schomaker, L.R.B., Morasso, P., & Thomassen, A.J.W.M. (1987). Handwriting-analysis system. In R. Plamondon, C.Y. Suen, J.-G. Desche^nes, & G. Poulin (Eds.), Proceedings of the Third International Symposium on Handwriting and Computer Applications (pp. 181-183). Montreal: Ecole Polytechnique. ISBN 2-553-00197-5.

  71. Schomaker, L.R.B., & Thomassen, A.J.W.M. (1986). On the use and limitations of averaging handwriting signals. In H.S.R. Kao, G.P. van Galen, & R. Hoosain (Eds.), Graphonomics: Contemporary research in handwriting (pp. 225-238). Amsterdam: North-Holland. o (HTML pages with GIF scans)

  72. Thomassen, A.J.W.M., & Schomaker, L.R.B. (1986). Between-letter context effects in handwriting trajectories. In H.S.R. Kao, G.P. van Galen, & R. Hoosain (Eds.), Graphonomics: Contemporary research in handwriting (pp. 253-272). Amsterdam: North-Holland.

    Reviewed proceedings papers, miscellaneous

  73. Ritsema van Eck, M.P. and Schomaker, L.R.B. (2012). Formal Semantic Modeling for Human and Machine-based Decoding of Medieval Manuscripts. Proc. of Digital Humanities, July 2012, Hamburg.

  74. R. Ekker, E.C.D. van der Werf & L.R.B. Schomaker (2004). Dedicated TD-learning for stronger gameplay: applications to Go In: A. Nowe, T. Lennaerts, K. Steenhaut (Eds.), Proceedings of Benelearn 2004 Annual Machine Learning Conference of Belgium and The Netherlands (Brussels, BE, January 8-9), pp. 46-52.

  75. L. Schomaker & R. Fehrmann (2003). Learning an approximate map of the environment by unsupervised bimodal landmark exploration, Proc. of the 15th Belgian-Dutch Artificial Intelligence Conference (BNAIC'03), Nijmegen, The Netherlands, Oct. 2003, pp. 275-282. (+poster)

  76. Franke, K, Schomaker, L. and Penk, W. (2003). Online Pen Input and Procedures for Computer Assisted Forensic Handwriting Examination. Proceedings of the IGS'2003, Scottsdale, Arizona, pp. 224-227.

  77. van Erp, M. Vuurpijl, L.G., Franke, F. and Schomaker, L.R.B. (2003). The WANDA Measurement Tool for Forensic Document Examination. Proceedings of the IGS'2003, Scottsdale, Arizona, pp. 282-285.

  78. Franke, K. and Schomaker, L. (2003). Pen Orientation Characteristics of Online Handwritten Signatures. Proceedings of the IGS'2003, Scottsdale, Arizona, pp. 295-298

  79. Franke, K., Schomaker, L., Vuurpijl, L. & Giesler, S. (2003). FISH-new: A common ground for computer-based forensic writer identification. Third European Academy of Forensic Science Triennial Meeting, Istanbul, Turkey, pp. 136(S1-S432):84 [Abstract].

  80. Schomaker, L. & Segers, E. (1998). A method for the determination of features used in human reading of cursive handwriting. Proceedings of IWFHR'98, 12-14 August, Taejon, Korea, pp. 157-168.

  81. Vuurpijl, L. & Schomaker, L. (1998). Multiple-agent architectures for the classification of handwritten text. Proceedings of IWFHR'98, 12-14 August, Taejon, Korea, pp. 335-346.

  82. Vuurpijl, L. & Schomaker, L. (1996). Coarse writing-style clustering based on simple stroke-related features. Proceedings of the 5th International Workshop on Frontiers in Handwriting Recognition (pp. 29-34), Sept. 2-5, 1996, Colchester, England. o (Gzipped PostScript)

  83. Abbink, G.H., H.-L. Teulings, & L.R.B. Schomaker (1993). Description of on-line script using Hollerbach's generation model. Proceedings of the Third International Workshop on Frontiers in Handwriting Recognition (IWFHR-3), Buffalo, USA: CEDAR, May 25-27, (pp. 217-224).

  84. Schomaker, L.R.B., Teulings, H.-L., Helsper, E.H., & Abbink, G.H. (1993). Adaptive recognition of online, cursive handwriting. Proceedings of the Sixth International Conference on Handwriting and Drawing. Paris, July, 4-7: Telecom, (pp. 19-21). o (Gzipped PostScript)

  85. Schomaker, L.R.B., (1991). Stroke- versus Character-based Recognition of On-line, Connected Cursive Script. In G.E. Stelmach (Ed.), Proceedings of the Fifth Handwriting Conference of the IGS: Motor Control of Handwriting (pp. 213-217). Tempe AZ: Arizona State University.

  86. Teulings, H.-L., Thomassen, A.J.W.M., Schomaker, L.R.B., & Morasso, P. (1987). Experimental protocol for cursive script acquisition: The use of motor information for the automatic recognition of cursive script. Report 3.1.2., ESPRIT Project 419.

Chapters in books

  1. Bulacu, M., Ezaki, N. & Schomaker, L.R.B. (2008). Text detection and pose estimation for a reading robot, In: Xing-Jian Jing (Ed.) Mobile Robots Motion Planning, New Challenges, Vienna (Austria): I-Tech Education and Publishing KG, pp. 39-62, ISBN 978-953-7619-01-5, June.

  2. Schomaker, L.R.B. (2007). Writer identification and verification. In: N. Ratha & V. Govindaraju (Eds.), Advances in Biometrics: Sensors, Systems and Algorithms, Springer-Verlag, pp. 247-264.

  3. Schomaker, L.R.B. (2007). Reading Systems: An introduction to Digital Document Processing. In: B.B. Chaudhuri (Ed.), Digital Document Processing, Springer-Verlag: Guildford, Surrey, UK, ISBN: 18462-8501-1, p. 1-28.

  4. Plamondon, R., Lopresti, D.P., Schomaker, L.R.B. and Srihari, R. (1999). On-line handwriting recognition. In: J.G. Webster (Ed.). Wiley Encyclopedia of Electrical & Electronics Engineering, 123-146, New York: Wiley, ISBN 0-471-13946-7.

  5. Benoit, C., Martin, J.-C., Pelachaud, C., Schomaker, L., & Suhm, B. (2000). Audio-visual and multimodal speech-based systems. In D. Gibbon, I. Mertins, & R. Moore (Eds.), Handbook of multimodal and spoken dialogue systems: Resources, terminology and product evaluation (pp. 102-203). Dordrecht: Kluwer Academic Publishers.

  6. Schomaker, L.R.B., & Van Galen, G.P. (1996). Computer models of handwriting. In: Dijkstra & De Smedt (Eds.), Computational Psycholinguistics: AI and connectionist models of human language processing (pp. 386-420). London: Taylor & Francis.

Invited lectures

  1. The Monk system and digital paleography. Lambert Schomaker. Ecole pratique des hautes Etudes (EPHE), Paris, 13-Feb-2015. Les editions electroniques et leur exploitation scientifique.

  2. The birth of a massive search engine for historical and multi-cultural handwritten collections. Lambert Schomaker. CERL Seminar 2014 -The application of text encoding facilities to digital versions of European early books. National Library of Norway, Oslo.

  3. New digital-humanities methods for paleography and handwritten manuscript analysis. Lambert Schomaker, Radcliffe Institute for Advanced Study at Harvard University, 4-Apr-2014. Symposium: The future of saving the past.

  4. Recent Developments in Handwritten Manuscript Analysis and Digital Palaeography. Lambert Schomaker, Leiden University, Lipsius building, 22-Nov-2013. Symposium - The Science of Medieval Script.

  5. Computer Methods for Handwriting Analysis. Lambert Schomaker, King's College London, UK, DigiPal Symposium, 16-Sep-2013.

  6. The Necessity of Simultaneous Multiple Perspectives in Digital Identification of the Hand. Lambert Schomaker, Erlangen Graduate School in Advanced Optical Technologies, 14-Jun-2013.

  7. Recent advances in computer-based access to large handwritten collections. Lambert Schomaker, Uppsala University, 14-Sep-2012. SALT, Forum for advanced Studies in Arts, Languages and Technology

  8. Digital paleography. Lambert Schomaker, Univ. Hamburg, Centre for the study of manuscript cultures, 26-Mar-2012.

  9. L.R.B. Schomaker (2007) Advances in Writer Identification and Verification, Proc. of 9th Int. Conf. on Document Analysis and Recognition (ICDAR 2007), 26 September, Curitiba, Brazil.

  10. L.R.B. Schomaker (2004). Trends and Challenges of Machine-aided Writer Identification [abstract of invited lecture] 6th. International Congress of the Gesellschaft fuer Forensische Schriftuntersuchung (GFS) e.V. Heidelberg, June 09-12, 2004.

  11. L.R.B. Schomaker (2004). Artificial Intelligence and Natural Perception. [extended abstract of invited lecture] Proc. of the XI. Int. Produktionstechnisches Kolloquium, PTK 2004, Berlin: Technische Universitaet, pp. 373-374.

  12. Schomaker, L.R.B. (2001) Image Search and Annotation: From Lab to Web. Document Electronique: Methodes, demarches et techniques cognitives, pp.373-375, ISBN 2-909285-17-0.

  13. Schomaker, L.R.B. (1998). Entre écrire des formes sur une ardoise et le traitement d'information utilisable. Actes du 1er Colloque International Francophone sur l'Écrit et le document, p. 9-13. Montreal: Acfas. ISBN 2-89245-148-5.

  14. Schomaker, L.R.B. (1997). From handwriting analysis to pen-computer applications, Keynote address at the 6th Int. Conf. on Image Processing and its Applications (IEE/IPA'97), July 17th, Dublin.

Miscellaneous

  1. Radio 1 Vara - 13-02-2012 Interview over schrijfmotoriek en leesbaarheid van handschrift

  2. Video IBM/Target on HPC & big data

  3. Schomaker, L. (2003). Patronen en symbolen: een wereld door het oog van de machine
    [inaugural speech, 10/12/2002, in English]. MUON, 87, pp. 8-13.

  4. Schomaker, L.R.B. (1991). Simulation and Recognition of Handwriting Movements, Doctoral Dissertation/PhD Thesis (NICI TR-91-03). Nijmegen University, The Netherlands. [pdf]

  5. Schomaker, L.R.B. (2002). [Book Review on] "Plausible Neural Networks for Biological Modelling (2001). H.A.K. Mastebroek & J.E. Vos (Eds.)", BCN Nieuwsbrief, 46. Groningen: BCN - School of Behavioral and Cognitive Neuroscience [in Dutch].

  6. Schomaker, L.R.B. (2001). Image search and annotation: from lab to web [Invited lecture] CIDE 2001 : colloque international sur le document Electronique No4, Toulouse , FRANCE (24/10/2001) 2001, pp. 373-375, ISBN 2-909285-17-0 [Slides of this lecture]

  7. J. Simons, A.T. Arampatzis, B.C.M. Wondergem, L.R.B. Schomaker, P. van Bommel, E.C.M. Hoenkamp, Th.P. van der Weide and C.H.A. Koster (2000). PROFILE: A Multi-disciplinary approach to information discovery. Technical Report CSI-R0001, January, Computing Science Institute, Faculty of Mathematics and Informatics, Nijmegen University, The Netherlands.

  8. Schomaker, L.R.B. and Vuurpijl, L.G. (2000). Forensic writer identification: A comparison of two systems, [internal report for the Netherlands Forensic Institute]", Nijmegen: NICI, p. 1-50.

  9. Schomaker, L. (1999). New pen-based applications and the multimodal annotation of raw multimedia . Tutorial, presented at the ICDAR'99, Bangalore, Sept. 19.

  10. Hartung, K., Muench, S., Schomaker L., Guiard-Marigny, T., Le Goff, B. MacLaverty, R., Nijtmans, J., Camurri, A., Defee, I., and Benoit, C. (1996). DI3 - Development of a System Architecture for the Acquisition, Integration, and Representation of Multimodal Information. Report of Esprit Project 8579/MIAMI, March 25, 1996. Nijmegen: NICI. (121 p.).

  11. Schomaker, L.R.B, Muench, S. & Hartung, K. (Eds). (1995). A Taxonomy of Multimodal Interaction in the Human Information Processing System. Report of the Esprit Project 8579 MIAMI (187 p.), Nijmegen: NICI.

  12. Schomaker , L.R.B, Nijtmans, J., Camurri, A., Lavagetto, F., Morasso, P., Benoît, Guiard-Marigny, T., Le Goff, B., Robert-Ribes, J., Adjoudani, A., Defée, I., Muench, S., Hartung, K., Blauert, J. (1995). DI2 - Progress Report of the Esprit Project 8579 MIAMI (122 p.), Nijmegen: NICI.

Reference to this author in patents

  1. US6970599
  2. US7137076
  3. GB2393838
  4. US6986106
  5. EP944020
  6. US6813624
  7. WO05017767
  8. WO03065246
  9. US6661920
  10. US6453070
  11. US20050154707
  12. WO05017768
  13. US6285785
  14. WO04032029
  15. WO03034317
  16. US20050018906
  17. US20050038644
  18. EP1083515
  19. US6785418
  20. US7199804
  21. GB2354100
  22. GB2354099
  23. US6744915

Computer demonstrations and posters

downloadable papers

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