Design of Multimodal Biometric System for Strengthening the Security Systems |
Author(s): |
| Anurag Bajpai , NIELIT Gorakhpur; Umang Varshney, NIELIT Gorakhpur; Deepam Dubey, NIELIT Gorakhpur |
Keywords: |
| MFCC (Mel Frequency Cepstral Coefficients), ANN (Artificial Neural Networks), Hamming Distance, Hough Transform |
Abstract |
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This paper is about biometric system with the use of iris and speech recognition technology. It primarily deals with enhancing the accuracy of the voice based biometrics system with including one more parameter i.e. iris recognition. MFCC (Mel Frequency Cepstral Coefficients) is used for feature extraction of the voiced signal and its matching is done with the help of ANN (Artificial Neural Networks). Hough transform is used for feature extraction of iris and pattern matching of iris feature vector is done with the Hamming distance calculation. |
Other Details |
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Paper ID: IJSRDV5I60025 Published in: Volume : 5, Issue : 6 Publication Date: 01/09/2017 Page(s): 4-6 |
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