Arabic Handwritten Word Recognition using CBIR


Abstract in English

This research describes a system for recognition of handwritten Arabic word without prior segmentation of the word into characters. In this system, the recognition will be happened at two levels. It is evolved basing on OCR (Optical Character Recognition), Hidden Markov Model, CBIR(Content Based Image Retrieval), it also involves Mathematical Morphology.

References used

KURDY, M. B. 1993- Multifont Arabic/Latin Optical Character Recognition System, Congres international Langue arabe et technologies information avancees , December, 1993
VASELINA, J. 2006 -A bout some Application of Hidden Markov Model in intrusion detection system , international conference and computer systems and technologies, compsys tech 6
CONZALEZ R. ; WOODS, R. 2008 – Digital Image Processing. Person Education , 3d Edition

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