Text-Independent Writer Identification and Verification on Offline Arabic Handwriting

Authors:
M. Bulacu;L. Schomaker;A. Brink
Affiliations:
University of Groningen, The Netherlands;University of Groningen, The Netherlands;University of Groningen, The Netherlands
Venue:
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
Year:
2007

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Abstract

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).