Bio-discretization: Biometrics authentication featuring face data and tokenised random number
With the wonders of the Internet and the promises of the worldwide information infrastructure, a highly secure authentication system is desirable. Biometric has been deployed in this purpose as it is a unique identifier. However, it also suffers from inherent limitations and specific security threat...
| Main Authors: | , , |
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| Format: | Article |
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2004
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| Online Access: | http://shdl.mmu.edu.my/2519/ |
| _version_ | 1848790077549838336 |
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| author | Foon, , NH Ling, , DNC Jin, , ATB |
| author_facet | Foon, , NH Ling, , DNC Jin, , ATB |
| author_sort | Foon, , NH |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | With the wonders of the Internet and the promises of the worldwide information infrastructure, a highly secure authentication system is desirable. Biometric has been deployed in this purpose as it is a unique identifier. However, it also suffers from inherent limitations and specific security threats such as biometric fabrication. To alleviate the liabilities of the biometric, a combination of token and biometric for user authentication and verification is introduced. All user data is kept in the token and human can get rid of the task of remembering passwords. The proposed framework is named as Bio-Discretization. Bio-Discretization is performed on the face image features, which is generated from Non-Negative Matrix Factorization (NMF) in the wavelet domain to produce a set of unique compact bitstring by iterated inner product between a set of pseudo random numbers and face images. Bio-Discretization possesses high data capture offset tolerance, with highly correlated bitstring for intraclass data. This approach is highly desirable in a secure environment and it outperforms the classic authentication scheme. |
| first_indexed | 2025-11-14T18:06:53Z |
| format | Article |
| id | mmu-2519 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:06:53Z |
| publishDate | 2004 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-25192011-08-22T06:45:11Z http://shdl.mmu.edu.my/2519/ Bio-discretization: Biometrics authentication featuring face data and tokenised random number Foon, , NH Ling, , DNC Jin, , ATB QA75.5-76.95 Electronic computers. Computer science With the wonders of the Internet and the promises of the worldwide information infrastructure, a highly secure authentication system is desirable. Biometric has been deployed in this purpose as it is a unique identifier. However, it also suffers from inherent limitations and specific security threats such as biometric fabrication. To alleviate the liabilities of the biometric, a combination of token and biometric for user authentication and verification is introduced. All user data is kept in the token and human can get rid of the task of remembering passwords. The proposed framework is named as Bio-Discretization. Bio-Discretization is performed on the face image features, which is generated from Non-Negative Matrix Factorization (NMF) in the wavelet domain to produce a set of unique compact bitstring by iterated inner product between a set of pseudo random numbers and face images. Bio-Discretization possesses high data capture offset tolerance, with highly correlated bitstring for intraclass data. This approach is highly desirable in a secure environment and it outperforms the classic authentication scheme. 2004 Article NonPeerReviewed Foon, , NH and Ling, , DNC and Jin, , ATB (2004) Bio-discretization: Biometrics authentication featuring face data and tokenised random number. AI 2004: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 3339 . pp. 64-73. ISSN 0302-9743 |
| spellingShingle | QA75.5-76.95 Electronic computers. Computer science Foon, , NH Ling, , DNC Jin, , ATB Bio-discretization: Biometrics authentication featuring face data and tokenised random number |
| title | Bio-discretization: Biometrics authentication featuring face data and tokenised random number |
| title_full | Bio-discretization: Biometrics authentication featuring face data and tokenised random number |
| title_fullStr | Bio-discretization: Biometrics authentication featuring face data and tokenised random number |
| title_full_unstemmed | Bio-discretization: Biometrics authentication featuring face data and tokenised random number |
| title_short | Bio-discretization: Biometrics authentication featuring face data and tokenised random number |
| title_sort | bio-discretization: biometrics authentication featuring face data and tokenised random number |
| topic | QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/2519/ |