2014
DOI: 10.1007/978-3-642-45321-2_21
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Arabic Character Recognition

Abstract: Abstract. Although optical character recognition of printed texts has been a focus of research for the last few decades, Arabic printed text, being cursive, still poses a challenge. The challenge is twofold: segmenting words into letters and identifying individual letters. We describe a method that combines the two tasks, using multiple grids of SIFT descriptors as features. To construct a classifier, we do not use a large training set of images with corresponding ground truth, a process usually done to constr… Show more

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Cited by 3 publications
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References 16 publications
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