Image Recognition Based on Euler Sequence by PCNN

Abstract:

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The aim of this paper is to research the image recognition system and its applications, which is based on combining the traditional BP neural networks and the third-generation pulse coupled neural network (PCNN).The process is by extracting the image's Euler number sequences, then through the fast Fourier transform, and finally as inputs of the pattern classification. In order to test the stability of the system, we make some varies by rotating, tension and compressing the original image, meanwhile, combined with extracting the features such as time sequence, entropy sequence to do compare, the recognition results is satisfactory.

Info:

Periodical:

Advanced Materials Research (Volumes 228-229)

Edited by:

Quanjie Gao

Pages:

1174-1180

DOI:

10.4028/www.scientific.net/AMR.228-229.1174

Citation:

S. M. He et al., "Image Recognition Based on Euler Sequence by PCNN", Advanced Materials Research, Vols. 228-229, pp. 1174-1180, 2011

Online since:

April 2011

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Price:

$35.00

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