Multimodal Biometric Person Recognition System Based on Iris and Palmprint Using Correlation Filter Classifier

Provided by: The Second International Conference on Communications and Information Technology
Topic: Security
Format: PDF
Biometric system has been actively emerging in various industries for the past few years, and it is continuing to roll to provide higher security features for access control system. Many types of uni-modal biometric systems have been developed. However, these systems are only capable to provide low to middle range of security feature. Thus, for higher security feature, the combination of two or more uni-modal biometrics is required. In this paper, the authors propose a multi-modal biometric system for person identification using Palmprint and Iris modalities. This paper describes the development of a multibiometric personal identification system based on Minimum Average Correlation Energy Filter (MACE) method (for matching).

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