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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
M. Bulacu, University of Groningen, The Netherlands
L. Schomaker, University of Groningen, The Netherlands
A. Brink, University of Groningen, The Netherlands
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
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