Remarks on BioHashing based cancelable biometrics in verification system
Biometric characteristics are immutable and hence their compromise is permanent. To address this problem, cancelable biometrics was introduced to denote biometric templates that can be canceled and replaced. BioHash is a form of cancelable biometrics which mixes a set of user-specific random numbers...
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| Format: | Article |
| Language: | English |
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ELSEVIER SCIENCE BV
2006
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/3248/ http://shdl.mmu.edu.my/3248/1/1303.pdf |
| _version_ | 1848790274877161472 |
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| author | JIN, A CONNIE, T |
| author_facet | JIN, A CONNIE, T |
| author_sort | JIN, A |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | Biometric characteristics are immutable and hence their compromise is permanent. To address this problem, cancelable biometrics was introduced to denote biometric templates that can be canceled and replaced. BioHash is a form of cancelable biometrics which mixes a set of user-specific random numbers with the biometric features. The main drawback of BioHash is its great degradation in performance when the legitimate token is stolen and used by the imposter to claim as the legitimate user. In this paper, we employ a modified probabilistic neural network as the classifier to alleviate this problem. The experiments are tested on the FERET face data set with promising results. (c) 2006 Elsevier B.V. All rights reserved. |
| first_indexed | 2025-11-14T18:10:01Z |
| format | Article |
| id | mmu-3248 |
| institution | Multimedia University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T18:10:01Z |
| publishDate | 2006 |
| publisher | ELSEVIER SCIENCE BV |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-32482014-03-03T04:50:43Z http://shdl.mmu.edu.my/3248/ Remarks on BioHashing based cancelable biometrics in verification system JIN, A CONNIE, T T Technology (General) QA75.5-76.95 Electronic computers. Computer science Biometric characteristics are immutable and hence their compromise is permanent. To address this problem, cancelable biometrics was introduced to denote biometric templates that can be canceled and replaced. BioHash is a form of cancelable biometrics which mixes a set of user-specific random numbers with the biometric features. The main drawback of BioHash is its great degradation in performance when the legitimate token is stolen and used by the imposter to claim as the legitimate user. In this paper, we employ a modified probabilistic neural network as the classifier to alleviate this problem. The experiments are tested on the FERET face data set with promising results. (c) 2006 Elsevier B.V. All rights reserved. ELSEVIER SCIENCE BV 2006-10 Article NonPeerReviewed text en http://shdl.mmu.edu.my/3248/1/1303.pdf JIN, A and CONNIE, T (2006) Remarks on BioHashing based cancelable biometrics in verification system. Neurocomputing, 69 (16-18). pp. 2461-2464. ISSN 09252312 http://dx.doi.org/10.1016/j.neucom.2006.01.024 doi:10.1016/j.neucom.2006.01.024 doi:10.1016/j.neucom.2006.01.024 |
| spellingShingle | T Technology (General) QA75.5-76.95 Electronic computers. Computer science JIN, A CONNIE, T Remarks on BioHashing based cancelable biometrics in verification system |
| title | Remarks on BioHashing based cancelable biometrics in verification system |
| title_full | Remarks on BioHashing based cancelable biometrics in verification system |
| title_fullStr | Remarks on BioHashing based cancelable biometrics in verification system |
| title_full_unstemmed | Remarks on BioHashing based cancelable biometrics in verification system |
| title_short | Remarks on BioHashing based cancelable biometrics in verification system |
| title_sort | remarks on biohashing based cancelable biometrics in verification system |
| topic | T Technology (General) QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/3248/ http://shdl.mmu.edu.my/3248/ http://shdl.mmu.edu.my/3248/ http://shdl.mmu.edu.my/3248/1/1303.pdf |