A Likelihood Ratio Approach to Information Fusion for Image-Based Fingerprint Verification
Subject Areas : electrical and computer engineering
M. S.
Helfroush
1
M.
Mohammadpour
2
Keywords: Fingerprint Training-based fusion Image-based features Likelihood ratio Parzen density estimation,
Abstract :
Image-based fingerprint verification systems have been considered as a parallel method against the minutiae-based approach. This paper proposes a training based fusion method for fingerprint verification, using likelihood ratio (L.R). In this method, the matching scores which are extracted from orientation, spectral and textural features are fused. In order to fuse these image-based features, the likelihood ratio approach has been employed. FVC2000 database has been selected to evaluate the method. Also, the proposed method has been compared to a similar one that uses the simple sum as its fusion system. The comparison results show that the proposed fusion method has made a significant improvement for the accuracy of matching system, so that the equal error rate (ERR) of proposed system has been reduced to 0.14%.
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