Accurate Tool based on JPEG Image Compression for Arabic Handwritten Character Shape Recognition

A.A. Aburas and S.A. Rehiel (Malaysia)


JPEG, OCR, Arabic handwriting, features extraction, recognition errors


The typical Optical Character Recognition (OCR) systems, regardless the character’s nature, are based mainly on three stages, preprocessing, features extraction and discrimination (recognizer). Each stage has its own problems and effects on the system efficiency such as time consuming and recognition errors. In order to avoid these difficulties this research paper presents new construction of OCR system for handwriting Arabic characters using JPEG standard Image Compression. The proposed algorithm obtained promising results in terms of accuracy as well as in terms of time consuming.

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