Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2 Text-Independent Writer Identification and Verification on Offline Arabic Handwriting Curitiba, Parana, Brazil September 23-September 26 ISBN: 0-7695-2822-8
In this paper, we evaluate the performance on Arabic handwriting of the text-independent writer identification methods that we developed and tested on Western script in recent years. We use the IFN/ENIT data in the experiments reported here and our tests involve 350 writers. The results show that our methods are very effective and the conclu- sions drawn in previous studies remain valid also on Arabic script. High performance is achieved by combining textu- ral features (joint directional probability distributions) with allographic features (grapheme-emission distributions).
Citation:
M. Bulacu, L. Schomaker, A. Brink, "Text-Independent Writer Identification and Verification on Offline Arabic Handwriting," icdar, vol. 2, pp.769-773, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||