TY  - JOUR
T1  - An off Line System for the Recognition of the Isolated Handwritten Arabic Characters
AU - , Mohammed Redjimi AU - , Salim Ouchtati AU - , Mouldi Bedda 
JO  - Asian Journal of Information Technology
VL  - 5
IS  - 8
SP  - 912
EP  - 918
PY  - 2006
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2006.912.918
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2006.912.918
KW  - Optical characters recognition
KW  -neural networks
KW  -barr features
KW  -image processing
KW  -pattern recognition
KW  -features extraction
AB  - In this study we present an off line system for the recognition of the isolated handwritten Arabic characters. The study is based on the analysis and the evaluation of multi-layers perceptron performances, trained with the gradient back propagation algorithm. It is hoped that the results of the evaluation contribute to the conception of operational systems.  The used parameters to form the input vector of the neural network are extracted on the binary images of the characters by the following methods: the centerd moments of the projections sequences, distribution parameters, the Barr features and Coding according the directions of Freeman.
ER  -