An Off-Line Cursive Handwriting Recognition System
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Omnifont Open-Vocabulary OCR System for English and Arabic
IEEE Transactions on Pattern Analysis and Machine Intelligence
Wavelets for Computer Graphics: A Primer, Part 1
IEEE Computer Graphics and Applications
On the Performance of Wavelets for Handwritten Numerals Recognition
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Handwritten Sentence Recognition
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Towards Automatic Video-based Whiteboard Reading
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Journal of Cognitive Neuroscience
Modeling and recognition of cursive words with hidden Markov models
Pattern Recognition
Automatic keyword extraction from historical document images
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
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Most successful systems for the recognition of unconstrained handwriting currently rely on expert-crafted feature sets that compute local geometric properties from text images. However, by applying appearance based analysis techniques appropriate features could be derived from training data automatically. Therefore, in this paper several different methods for computing appearance-based feature representations are investigated and compared to the performance of a state-of-the-art writer-independent recognition system based on geometric features. In extensive experiments promising results were obtained on a challenging recognition task.