Minimax probability machine for iris recognition

Authors:
Yong Wang;Jiu-qiang Han
Affiliations:
School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an, P.R. China;School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an, P.R. China
Venue:
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Year:
2006

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Abstract

In this paper, a novel iris recognition method is proposed based on a state-of-the-art classification technique called minimax probability machine (MPM). Engaging the binary MPM technique, this work develops a multi-class MPM classification for reliable iris recognition with high accuracy. The experiments on iris database demonstrate that compared to the existent methods, the MPM-based iris recognition algorithm obtains better classification performance. It can significantly improve the recognition accuracy and has a competitive and promising performance.