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http://dx.doi.org/10.9717/kmms.2013.16.3.302

Enhancement of Authentication Performance based on Multimodal Biometrics for Android Platform  

Choi, Sungpil (세종대학교 컴퓨터 공학과)
Jeong, Kanghun (세종대학교 컴퓨터 공학과)
Moon, Hyeonjoon (세종대학교 컴퓨터 공학과)
Publication Information
Journal of Korea Multimedia Society / v.16, no.3, 2013 , pp. 302-308 More about this Journal
Abstract
In this research, we have explored personal authentication system through multimodal biometrics for mobile computing environment. We have selected face and speaker recognition for the implementation of multimodal biometrics system. For face recognition part, we detect the face with Modified Census Transform (MCT). Detected face is pre-processed through eye detection module based on k-means algorithm. Then we recognize the face with Principal Component Analysis (PCA) algorithm. For speaker recognition part, we extract features using the end-point of voice and the Mel Frequency Cepstral Coefficient (MFCC). Then we verify the speaker through Dynamic Time Warping (DTW) algorithm. Our proposed multimodal biometrics system shows improved verification rate through combining two different biometrics described above. We implement our proposed system based on Android environment using Galaxy S hoppin. Proposed system presents reduced false acceptance ratio (FAR) of 1.8% which shows improvement from single biometrics system using the face and the voice (presents 4.6% and 6.7% respectively).
Keywords
Face Verification; Speaker Verification; Multimodal Biometrics;
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