An Approach Based on Structural Segmentation for the Recognition of Arabic Handwriting

In this paper we propose a new segmentation approach applied to Arabic handwriting, which can reconstruct in offline a tracing path similar to that in the case of online. Our approach uses a semiskeletonization technique for following lines and calculation of the characteristics of characters. With the application of an SVM classifier in the classification phase, we were able to achieve very interesting recognition rates in reduced time. When compared to similar works, this work is very interesting for the Off-line recognition of Arabic handwriting.

• Type: Journal
• Year: 2010
• Where: AISS
• Authors: Zaiz Faouzi, Djeffal Abdelhamid, Babahenini Mohamed Chaouki
• Keywords: AISS 2010, Interesting Recognition Rates, SVM Classifier, Tracing Path