Automatic writer identification using connected-component contours and edge-based features of uppercase Western script
By Lambert Schomaker, Marius Bulacu. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004
294 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/c656946b26f7501b74eac6fd4cfac751e3ebb734
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In Computer Vision and Pattern Recognition
In Media Technology
Citations in the corpus
- Text-Independent Writer Identification and Verification Using Textural and Allographic Features (2007, methodology): “For the present paper, we have selected the most discriminative features from a larger number of features tested in a previous study (normalized entropy, ink-density PDF, wavelets) [9].”