A system for Arabic character recognition

Author

Hosseini, Habib Mir Mohamad ; Bouzerdoum, Abdesselam

Author_Institution

Dept. of Electr. & Electron. Eng., Adelaide Univ., SA, Australia

fYear

1994

fDate

29 Nov-2 Dec 1994

Firstpage

120

Lastpage

124

Abstract

In this paper, a method for automatic recognition of isolated characters is presented. In this system, the character matrix is circularly scanned, and the number of ON pixels around each circle is obtained and saved in a vector. A feedforward neural network is trained by backpropagation to recognize these vectors. In this method, even when the character is rotated around its centroid, or shifted within the matrix, it can still be recognized. The recognition rate with some noise and random rotations for isolated Arabic and Persian characters is about 91%

Keywords

backpropagation; document image processing; feedforward neural nets; optical character recognition; Arabic character recognition; ON pixels; Persian characters; backpropagation; character matrix; character rotation; feedforward neural network; isolated character recognition; noise; random rotations; recognition rate; training; vector; Application software; Backpropagation; Character recognition; Feature extraction; Feedforward neural networks; Neural networks; Optical character recognition software; Optical computing; Optical noise; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Systems,1994. Proceedings of the 1994 Second Australian and New Zealand Conference on

Conference_Location

Brisbane, Qld.

Print_ISBN

0-7803-2404-8

Type

conf

DOI

10.1109/ANZIIS.1994.396937

Filename

396937