Simulated light sensitive model for handwritten digit recognition

Author

Lursinsap, Chidchanok ; Khunasaraphan, Chularat

Author_Institution

Center for Adv. Comput. Studies, Univ. of Southwestern Louisiana, Lafayette, LA, USA

Volume

4

fYear

1992

fDate

7-11 Jun 1992

Firstpage

13

Abstract

A new technique for handwritten digit recognition based on a simulated light sensitive model combined with the classical back-propagation network is proposed. The primary objective is to overcome the space and time complexities of the problem. The ultimate goal is to implement the recognition technique on a VLSI chip. The authors discuss the recognition concept and introduce the light receptor model. The excitation and inhibition rules are considered. The experiments confirmed that this technique substantially reduces the time and space complexities of the network. It is better than the existing techniques

Keywords

VLSI; character recognition; computational complexity; neural nets; VLSI chip; backpropagation network; excitation rules; handwritten digit recognition; inhibition rules; light receptor model; simulated light sensitive model; space complexity; time complexities; Brain modeling; Computational modeling; Feeds; Handwriting recognition; Neural networks; Neurons; Optical character recognition software; Optical computing; Optical fiber networks; Optical sensors;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1992. IJCNN., International Joint Conference on

Conference_Location

Baltimore, MD

Print_ISBN

0-7803-0559-0

Type

conf

DOI

10.1109/IJCNN.1992.227346

Filename

227346