A simple approach to distinguish between Maghrebi and Persian calligraphy in old manuscripts
Manual annotation of images is usually a mandatory task in many applications where no knowledge about the image is available. In presence of huge number of images, this task becomes very tedious and prone to human errors. In this paper, we contribute in automatic annotation of Arabic old manuscripts by discovering manuscript calligraphy. Arabic manuscripts count a very large number of Persian and Maghrebi writing especially in Noth Africa. Distinguishing between these two calligraphies allow better classifying them and so annotating them. We use background constructing followed by extraction of simple features to classify Arabic manuscript calligraphies using a Quadratic Bayes classifier.
manuscript hnadwritting calligraphy classification supervised learning;
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