Robust multimodal biometric verification system based on face and fingerprint

Supreetha Gowda, H. D. and Hemantha Kumar, G. and Imran, Mohammad (2017) Robust multimodal biometric verification system based on face and fingerprint. In: 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 13-16 September 2017, Udupi, India.

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In this paper, we have proposed a multimodal biometric verification system adopting the physiological traits-face and fingerprint. The system has been evaluated for robustness analysis imposing the Additive White Gaussian noise (AWGN) on clean data of the employed databases-AR facial database, PolyU High-resolution fingerprint database. The unimodal and multimodal (pre and post matching fusion strategies) verification system is investigated extracting the log-gabor features. Considering the performance measures such as GAR (Genuine Acceptance Rate) and FAR (False Acceptance Rate) at the benchmark threshold values - 0.01, 0.1, 1. The accuracy of the system for clean and noisy data can be visualized by ROC (Receiver Operating Characteristics) curve, area under it expresses the performance of the implemented system.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: AWGN;face recognition;feature extraction;fingerprint identification;Gabor filters;image filtering;image fusion;image matching;robust multimodal biometric verification system;physiological traits-face;robustness analysis;clean data;post matching fusion strategies;log-gabor features;noisy data;additive white Gaussian noise;false acceptance rate;AR facial database;PolyU high-resolution fingerprint database;pre matching fusion strategies;genuine acceptance rate;receiver operating characteristics curve;ROC curve;Feature extraction;Face;Wavelet transforms;Databases;Noise measurement;Standards;Gaussian noise
Subjects: D Physical Science > Computer Science
Divisions: Department of > Computer Science
Depositing User: MUL SWAPNA user
Date Deposited: 06 Jul 2019 09:44
Last Modified: 06 Jul 2019 09:44

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