The Fusion of Two User-friendly Biometric Modalities: Iris and Face

  • Authors:

  • Byungjun Son;Yillbyung Lee

  • Affiliations:

  • The authors are with the Division of Computer and Information Engineering, Yonsei University, Seoul 120--749, Korea. E-mail: sonjun@csai.yonsei.ac.kr;The authors are with the Division of Computer and Information Engineering, Yonsei University, Seoul 120--749, Korea. E-mail: sonjun@csai.yonsei.ac.kr

  • Venue:
  • IEICE - Transactions on Information and Systems
  • Year:
  • 2006

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Abstract

In this paper, we present the biometric authentication system based on the fusion of two user-friendly biometric modalities: Iris and Face. Using one biometric feature can lead to good results, but there is no reliable way to verify the classification. To achieve robust identification and verification we are combining two different biometric features. We specifically apply 2-D discrete wavelet transform to extract the feature sets of low dimensionality from the iris and face. And then to obtain Reduced Joint Feature Vector (RJFV) from these feature sets, Direct Linear Discriminant Analysis (DLDA) is used in our multimodal system. This system can operate in two modes: to identify a particular person or to verify a person's claimed identity. Our results for both cases show that the proposed method leads to a reliable person authentication system.