Title :
New Promising Off Line Tool for Arabic Handwritten Character Recognition Based On JPEG2000 Image Compression
Author :
Aburas, Abdurazzag Ali ; Rehiel, Salem Ali
Author_Institution :
Electr. & Comput. Eng. Dept, Int. Islamic Univ. Malaysia, Kuala Lumpur
Abstract :
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 JPEG2000 standard. The proposed algorithm obtained promising results in terms of accuracy as well as in terms of time consuming.
Keywords :
data compression; feature extraction; handwritten character recognition; image coding; natural languages; optical character recognition; Arabic handwritten character recognition; JPEG2000 image compression; OCR; features extraction; optical character recognition; Artificial intelligence; Character recognition; Data mining; Feature extraction; Handwriting recognition; Image coding; Image recognition; Optical character recognition software; Optical computing; Transform coding; Arabic handwriting; JPEG2000; OCR; features extraction; recognition errors;
Conference_Titel :
Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference on
Conference_Location :
Damascus
Print_ISBN :
978-1-4244-1751-3
Electronic_ISBN :
978-1-4244-1752-0
DOI :
10.1109/ICTTA.2008.4530087
