Iris double recognition based on modified evolutionary neural network
Author:
Affiliation:
1. Jilin University, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Ed
2. Northeast Electric Power University, Informatization Office, Jilin
Publisher
SPIE-Intl Soc Optical Eng
Subject
Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics
Reference48 articles.
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4. Efficient Iris Recognition through Improvement of Feature Vector and Classifier
5. Secondary iris recognition method based on local energy-orientation feature
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