Title :
Recognition of Arabic characters using Karhunen-Loeve transform and dynamic programming
Author :
Fakir, Mohamed ; Hassani, M.M. ; Sodeyama, Chuichi
Author_Institution :
Dept. of Math. & Comput. Sci., Beni Mellal, Morocco
Abstract :
A method for the recognition of Arabic printed characters entered from an image scanner is presented. After the process of smoothing, and midline skew correction, the text is segmented into characters. Then features are extracted using Karhunen-Loeve transform. Next characters are classified using a dynamic programming (DP) technique and the extracted features. The results indicate that the technique offers better classification rate in comparison with existing methods
Keywords :
Hough transforms; character recognition; dynamic programming; feature extraction; image segmentation; Arabic characters; Karhunen-Loeve transform; classification rate; midline skew correction; smoothing; Character recognition; Dynamic programming; Eigenvalues and eigenfunctions; Feature extraction; Image recognition; Karhunen-Loeve transforms; Mathematics; Shape; Stress; Writing;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.816666
