Software for Arabic Machine Printed Optical Character Recognition (MACRS) | Zendy

Mahdi Al- Obaidi | Zendy; Laheeb Ibrahim | Zendy

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Software for Arabic Machine Printed Optical Character Recognition (MACRS)

Author(s) -

Mahdi Al- Obaidi,

Laheeb Ibrahim

Publication year - 2006

Publication title -

maǧallaẗ al-rāfidayn li-ʿulūm al-ḥāsibāt wa-al-riyāḍiyyāẗ/al-rafidain journal for computer sciences and mathematics

Language(s) - English

Resource type - Journals

eISSN - 2311-7990

pISSN - 1815-4816

DOI - 10.33899/csmj.2006.164033

Subject(s) - alphanumeric , computer science , artificial intelligence , pattern recognition (psychology) , optical character recognition , skew , arabic numerals , preprocessor , character (mathematics) , invariant (physics) , feature extraction , arabic , digitization , artificial neural network , software , speech recognition , computer vision , image (mathematics) , mathematics , telecommunications , linguistics , philosophy , geometry , mathematical physics , programming language

Machine printed Arabic Character Recognition System (MACRS) is concerned with recognition of machine printed alphanumeric Arabic characters. In the present work, characters have been represented (extracted) by using geometric moment invariant (3 order). The technique used in this research can be divided into three major steps. The first step is digitization and preprocessing to create connected component, detect the skew of a character image and correct it. The second is feature extraction, where

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