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.
Full text not available from this repository. (Request a copy)Abstract
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: | C Swapna Library Assistant |
| Date Deposited: | 06 Jul 2019 09:44 |
| Last Modified: | 06 Jul 2019 09:44 |
| URI: | http://eprints.uni-mysore.ac.in/id/eprint/4841 |
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