Multiple Hand Based Biometric Bit Extraction For Template Protection
In this research, a biometric template protection method that encompasses multiple biometrics fusion, feature transformation and bit-extraction is proposed. Normally, the fusion of different biometrics forms a multi-biometrics system that offers some advantages over unibiometric system such as - hig...
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my-mmu-ep.55832014-06-16T02:23:36Z Multiple Hand Based Biometric Bit Extraction For Template Protection 2012-01 Chin, Yong Jian TK Electrical engineering. Electronics Nuclear engineering In this research, a biometric template protection method that encompasses multiple biometrics fusion, feature transformation and bit-extraction is proposed. Normally, the fusion of different biometrics forms a multi-biometrics system that offers some advantages over unibiometric system such as - higher degree of freedom, less prone to spoof attacks, and lower error rates. In the proposed solution, biometric information from fingerprint and palmprint are first fused at feature level. In this context, the scanned fingerprint and palmprint images are cropped to extract their region of interest (ROI). Subsequently, a bank of Gabor filters is used to extract the salient features from the fused images. Experiment results show that the proposed fusion method offers better performance and it is more robust compared to unibiometric approaches using solely fingerprint or palmprint biometrics. 2012-01 Thesis http://shdl.mmu.edu.my/5583/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php masters Multimedia University Faculty of Information Science and Technology |
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TK Electrical engineering Electronics Nuclear engineering |
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TK Electrical engineering Electronics Nuclear engineering Chin, Yong Jian Multiple Hand Based Biometric Bit Extraction For Template Protection |
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In this research, a biometric template protection method that encompasses multiple biometrics fusion, feature transformation and bit-extraction is proposed. Normally, the fusion of different biometrics forms a multi-biometrics system that offers some advantages over unibiometric system such as - higher degree of freedom, less prone to spoof attacks, and lower error rates. In the proposed solution, biometric information from fingerprint and palmprint are first fused at feature level. In this context, the scanned fingerprint and palmprint images are cropped to extract their region of interest (ROI). Subsequently, a bank of Gabor filters is used to extract the salient features from the fused images. Experiment results show that the proposed fusion method offers better performance and it is more robust compared to unibiometric approaches using solely fingerprint or palmprint biometrics. |
format |
Thesis |
qualification_level |
Master's degree |
author |
Chin, Yong Jian |
author_facet |
Chin, Yong Jian |
author_sort |
Chin, Yong Jian |
title |
Multiple Hand Based Biometric Bit Extraction For Template Protection |
title_short |
Multiple Hand Based Biometric Bit Extraction For Template Protection |
title_full |
Multiple Hand Based Biometric Bit Extraction For Template Protection |
title_fullStr |
Multiple Hand Based Biometric Bit Extraction For Template Protection |
title_full_unstemmed |
Multiple Hand Based Biometric Bit Extraction For Template Protection |
title_sort |
multiple hand based biometric bit extraction for template protection |
granting_institution |
Multimedia University |
granting_department |
Faculty of Information Science and Technology |
publishDate |
2012 |
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1747829580210634752 |