Towards the on-line recognition of Arabic characters

Author

Klassen, Tim J. ; Heywood, Malcolm I.

Author_Institution

Fac. of Comput. Sci., Dalhousie Univ., Halifax, NS, Canada

Volume

2

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

1900

Lastpage

1905

Abstract

A generic system is proposed for the recognition of online handwritten Arabic characters. Automatic extraction of features from online data using self-organizing maps (SOMs) avoids heuristic extraction of features. The performance of a perceptron classifier is competitive with MLP (multilayer perceptron) and genetic programming-based approaches and is a better fit for hand-held computing devices

Keywords

feature extraction; handwritten character recognition; image classification; online operation; optical character recognition; perceptrons; performance evaluation; self-organising feature maps; Arabic cursive handwriting; automatic feature extraction; genetic programming; hand-held computing devices; multilayer perceptron; online handwritten Arabic character recognition; perceptron classifier performance; self-organizing maps; Application software; Character recognition; Data mining; Feature extraction; Genetic programming; Handheld computers; Keyboards; Mobile computing; Shape; Speech recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on

Conference_Location

Honolulu, HI

ISSN

1098-7576

Print_ISBN

0-7803-7278-6

Type

conf

DOI

10.1109/IJCNN.2002.1007809

Filename

1007809