Iris Recognition Systems with Reduced Storage and High Accuracy Using Majority Voting and Haar Transform
Reliable user authentication is becoming an increasingly important task. Biometric based authentication offers several advantages over other authentication methods. Iris based biometric authentication gained more popularity because of its greater accuracy and uniqueness. In this paper, a new method is proposed based on Haar transform and Majority Voting to improve the overall efficiency of existing iris recognition systems in terms of accuracy and storage space. An existing iris recognition algorithm proposed by Libor Masek is used to generate an iris template. Haar transform is applied on those templates to reduce the storage space. Majority voting technique is being performed with target class iriscodes to improve the accuracy of the recognition system. Iriscodes of various combinations are made using different levels of haar decomposition and each combination is represented as a method. Experiments on well known CASIA iris database show that the proposed technique is more efficient and promising.
KeywordsBiometrics Iris Recognition User authentication reduced storage space Haar transform Majority voting
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