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  • 标题:IRIS-FACE FUSION AND SECURITY ANALYSIS FISHER DISCRIMINANT
  • 本地全文:下载
  • 作者:Qihui Wang ; Bo Zhu ; Yu Liu
  • 期刊名称:International Journal on Smart Sensing and Intelligent Systems
  • 印刷版ISSN:1178-5608
  • 出版年度:2015
  • 卷号:8
  • 期号:1
  • 页码:387-407
  • 出版社:Massey University
  • 摘要:With the development of society and science technology, the information security becomesmore and more important for people and nation. In this paper, we focus on the technology of iris-facefusion in multi-mode sense in order to find an algorithm to get a better recognition performance.Firstly, we introduce the feature extraction of iris and face, and fusion the features using differentalgorithms. By simulation, we find out the recognition performance with different fusion methods,which provide some new conclusions. In order to improve the performance of recognition system, weclassify these features with fisher discriminant analysis again. Then we analyze the security ofrecognition system from the aspect of influence of leak in biology features. Finally, experiments weredesigned to demonstrate the effectiveness of the proposed algorithms.
  • 关键词:iris feature; face feature; fisher discriminant analysis; fusion
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