19 January 2009 Improvement of Arabic handwriting recognition systems; combination and/or reject?
Author Affiliations +
In this paper, we present a comparison between two different combination schemes for the improvement of the performance of Arabic handwriting recognition systems. Several recognition systems (here considered as black box systems) are used from the participating systems of the Arabic handwriting recognition competition at ICDAR 2007. The outputs of these systems provide the input of our combination schemes. The first combination schemes are based on fixed fusion using logical rules, while the second one are based on trainable rules. After the normalization step of the recognition confidences and the combination of the outputs, the improvement is evaluated in term of recognition rates of a multi-classifier system with or without reject. The participating systems use the sets a to e of the IfN/ENIT database for training, and we use the set f for tests. Applying the combination rules, the results show a high recognition rate of about 95% without reject, which corresponds to an improvement of recognition rates between 8% and 15% compared to results at the ICDAR 2007 competition.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haikal El Abed and Volker Märgner "Improvement of Arabic handwriting recognition systems; combination and/or reject?", Proc. SPIE 7247, Document Recognition and Retrieval XVI, 72470A (19 January 2009); doi: 10.1117/12.806178; https://doi.org/10.1117/12.806178

Back to Top