Character recognition using a multistage neural network

Ismail I. Jouny; Matthew Sheridan

doi:10.1117/12.138308

16 September 1992 Character recognition using a multistage neural network

Ismail I. Jouny, Matthew Sheridan

Proceedings Volume 1700, Automatic Object Recognition II; (1992) https://doi.org/10.1117/12.138308
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

This paper uses two stages of multi-layer neural networks for character recognition. In the first stage, each neural network is trained to recognize a segment of the character image. The responses are then presented to another network where the final decision is made. The proposed method is computationally efficient, fault tolerant, has an associative memory capability, and has some of the merits of multi-decision pattern recognition techniques. The features used are gray-level representations of both typed and hand-written upper case characters. The proposed recognition scheme is tested extensively and its performance is compared with that of other non-parametric recognition methods.

Citation Download Citation

Ismail I. Jouny and Matthew Sheridan "Character recognition using a multistage neural network", Proc. SPIE 1700, Automatic Object Recognition II, (16 September 1992); https://doi.org/10.1117/12.138308

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