prof. dr. Lambert Schomaker
Artificial Intelligence and Cognitive Engineering (ALICE)
[Research | Education]
Bernoulliborg building (V)
9747 AG Groningen, The Netherlands
E-mail: home email address
Researchers at ALICE
Interests & projects
- Within artificial intelligence, my focus is on perceptual intelligence and machine learning
- Monk is our continuous project for allowing access to historical Dutch archives which are difficult to access by means
of traditional OCR approaches due to their special fonts or handwritten style.
Since 2009, Monk is one of the demonstrators in the Target project
- January 2015, we obtained an ECSEL/H2020 grant, as a member of a consortium of 47 industrial and research partners, concerning big data, machine learning
and preventive maintenance in (robotic) manufacturing lines: project Mantis
- January 2014, an international NWO/Digging into Data project was granted titled
"Global Currents" in which Stanford University and McGill University participate.
The application domain is e-Humanities and our contribution to the project is the induction of semantics from visual patterns, shapes and
their occurrence on historical (handwritten) documents, using pattern recognition and machine learning.
- In 2012, we started a project in the computer-based dating of mediaeval handwritten manuscripts, in a Dutch NWO project "MPS - The Mediaeval Paleographic Scale", together
with paleographer prof. dr. Jan Burgers from the Huygensinstituut, The Hague. We will use models and methods collected in the area of writer identification.
- Ubbo Emmius' RERUM FRISICARUM HISTORIA (1616) Machine-print OCR on an important historical book (a GUF grant with Zweder von Martels & Arnold Meijster)
- NWO/Morph: Learning to learn: An Adaptive Reading System using a High-Performance Morphed-Image Correlator
- NWO/CATCH, sub project Scratch (SCRipt Analysis Tools for the Cultural Heritage):
Historical document analysis, together with the Nationaal Archief.
- Biologically inspired image features (Poggio/Serre) are strong in whole-word recognition
- Off-line writer identification
- Our recognizer of mixed-styles online handwriting
- Methods: Neural networks, SVMs, Multiple agents, Genetic algorithms, finding proper distance measures for nearest-neighbour search
- Content and
object-based image search
- Brain-Computer Interfacing
- Autonomous Systems / camera-based text detection by robots
- People at our institute
- Former M.Sc. Students
- Ph.D. involvement
- Other committees
Researchers and scientific programmers
- Tapan Bhowmik (Target project, HMMs & historical manuscript recognition)
- Arnold Meijster (high-performance computing, image processing)
- Aswin van Woudenberg (writer identification/implementation)
- Edzer Lawerman (database and I/O optimization, seconded, NSpyre)
- Jean-Paul van Oosten (Markov modeling of active recognition)
He has obtained, at the ICFHR 2012, the IAPR Best Paper Award:
Jean-Paul Van Oosten, Lambert Schomaker (2010).
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,
- Sheng He (writing style-based dating of handwritten manuscripts)
- Bowornrat Sriman (camera-based text detection and recognition for Asian scripts)
- Marius Bulacu (writer identification, dissertation 2007)
- Tijn van der Zant (handwritten historical document retrieval, dissertation 2010)
- Axel Brink (robust writer identification and verification, dissertation 2011)
- Gert Kootstra (biologically inspired robot vision and navigation, dissertation 2010)
- Hado van Hasselt (reinforcement learning systems, with Marco Wiering, dissertation 2011)
Masahiro Niitsuma has visited our lab for his research project on
musical score identification.
dr. Nobuo Ezaki has visited our lab. He obtained
a Japanese grant for research in developing an experimental camera-based text
reading system in order to be able to realize a text-to-speech
conversion for blind people who are navigating a typical city or office
environment with text tags.
I heartily welcome International Students to
take a look at our programmes.