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IIJEC:Volume 5, Issue 11, November 2017

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Title:
Palmprint recognition exploitation multiscale remodel, linear discriminate analysis, and neural network
Author Name:
Dayan, Moshe
Abstract:
ABSTRACT Palmprint recognition is gaining grounds as a biometric system for rhetorical and business applications. Palmprint recognition addressed the popularity issue exploitation low and high resolution pictures. This paper uses PolyU hyperspectral palmprint information, and applies back-propagation neural network for recognition, linear discriminate analysis for spatial property reduction, and second distinct wave, ridgelet, curvelet, and contourlet for feature extraction. the popularity rate accuracy shows that contourlet outperforms alternative transforms.
Cite this article:
Dayan, Moshe , " Palmprint recognition exploitation multiscale remodel, linear discriminate analysis, and neural network" , IPASJ INTERNATIONAL JOURNAL OF ELECTRONICS & COMMUNICATION (IIJEC) , Volume 5, Issue 11, November 2017 , pp. 001-004 , ISSN 2321-5984.
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