Title :
Arabic Handwriting Recognition Using Projection Profile and Genetic Approach
Author :
Aljuaid, Hanan ; Mohamad, Dzulkifli ; Sarfraz, Muhammad
Author_Institution :
Fac. of Comput. Sci. & Info Syst., UTM, Johor Bharu, Malaysia
fDate :
Nov. 29 2009-Dec. 4 2009
Abstract :
This paper presents a complete system to recognize off-line Arabic handwriting. The proposed system starts from preprocessing and segmentation phases. It also includes thinning phase and finds vertical and horizontal projection profiles. The recognition phase is managed by genetic algorithm. The genetic algorithm stands on feature extraction algorithm that defines six features for each segment.
Keywords :
feature extraction; genetic algorithms; handwriting recognition; image segmentation; natural language processing; feature extraction algorithm; genetic algorithm; offline Arabic handwriting recognition; projection profile; segmentation phases; Biological cells; Character recognition; Feature extraction; Handwriting recognition; Image segmentation; Pixel; Shape; Character Recognition; Feature extraction; Genetic algorithm; segmentation; thinning;
Conference_Titel :
Signal-Image Technology & Internet-Based Systems (SITIS), 2009 Fifth International Conference on
Conference_Location :
Marrakesh
Print_ISBN :
978-1-4244-5740-3
Electronic_ISBN :
978-0-7695-3959-1
DOI :
10.1109/SITIS.2009.29
