Nr | Name | Publ. | Comment | Code | Data |
---|---|---|---|---|---|
1 | Hinge (pixels, edges, convolution) | Schomaker & Bulacu (2004) | (by convolution) Slow but not so sensitive if character contours are not complete | ANSI C | Firemaker data set |
2 | Hinge (coco contour angles) | Schomaker & Bulacu (2004) | (along connected-component contours) Fast but more sensitive to broken character contours | ANSI C | Firemaker data set |
3 | CO3 Fraglet codebooks | Schomaker & Bulacu (2004) | Usage histogram of allographic elements using connected-component contours | ANSI C | Firemaker data set |
4 | CO3 Fraglet codebooks | Schomaker & Bulacu (2004) | Usage histogram of allographic elements using connected-component pixel images | ANSI C | Firemaker data set |
nn | Junction detection: Polar Stroke Descriptor (PSD) | Sheng He & Schomaker (2015) | Detection of junction points in characters, document scans | C++ | -- |
nn | Delta-n Hinge | Sheng He & Schomaker (2014) | Rotation-invariant writer identificiation | C++ | -- |
nn | FragNet | Sheng He & Schomaker (2019) | Single-word based writer identification using fragments and feature maps in a deep learning neural network, feature pyramid | C++ | -- |
nn | COLD | Sheng He & Schomaker (2017) | Writer identification using curvature-free features. | C++ | -- |
nn | DeepOtsu | Sheng He & Schomaker (2019) | Iterative, deep-learning based preprocessor as a step before general Otsu | C++ | -- |
nn | Multiple-label guided clustering algorithm for historical document dating and localization | Sheng He & Schomaker (2016) | A constrained elongated Kohonen map in slices over time for style evolution analysis | C++ | -- |
nn | Fragnet: Writer identification using deep fragment networks | Sheng He & Schomaker (2017) | Deep learning method for writer identification | C++ | -- |
nn | BiNet: U-net based binarisation for historical documents | Maruf Dhali & Schomaker (2019) | Deep learning method for binarizing manuscripts on papyrus or parchment | Python | IAA/DSS |
nn | Delta-N hinge: rotation-invariant features | Sheng He & Schomaker (2014) | Shape feature for writer identification or other rotation-invariant tasks | Python | -- |
nn | DTGAN | Zhenxing Zhang & Schomaker (2021) | Single, end-to-end text-to-image GAN | Python | MSCOCO,... |
nn | DiverGAN | Zhenxing Zhang & Schomaker (2021) | Single, end-to-end text-to-image GAN, enforcing diversity | Python | MSCOCO,... |
nn | OptGAN | Zhenxing Zhang & Schomaker (2021) | Single, end-to-end text-to-image GAN, maximizing probability of good output images | Python | MSCOCO,... |
Under construction, June 2022
this list is far from complete