Multimodal face and finger veins biometric authentication
Due to the increase in security requirements, biometric systems have been commonly utilized in many recognition applications. Multimodal has great demands to overcome the issue involved in single trait system and it has become one of the most important research areas of pattern recognition. We prese...
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| Format: | Article |
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Academic Journals
2010
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| _version_ | 1796856171338924032 |
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| author | Yusof, Rubiyah Razzak, Muhammad Imran Khalid, Marzuki |
| author_facet | Yusof, Rubiyah Razzak, Muhammad Imran Khalid, Marzuki |
| author_sort | Yusof, Rubiyah |
| collection | ePrints |
| description | Due to the increase in security requirements, biometric systems have been commonly utilized in many recognition applications. Multimodal has great demands to overcome the issue involved in single trait system and it has become one of the most important research areas of pattern recognition. We present multimodal face and finger veins biometric verification system to improve the performance. We presented multilevel score fusion of face and finger veins to provide better accuracy. Simulation results shows that proposed multimodal recognition system is very efficient to reduce the false rejection rate. |
| first_indexed | 2024-03-05T18:39:30Z |
| format | Article |
| id | utm.eprints-26258 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:39:30Z |
| publishDate | 2010 |
| publisher | Academic Journals |
| record_format | dspace |
| spelling | utm.eprints-262582018-11-30T06:24:40Z http://eprints.utm.my/26258/ Multimodal face and finger veins biometric authentication Yusof, Rubiyah Razzak, Muhammad Imran Khalid, Marzuki TK Electrical engineering. Electronics Nuclear engineering Due to the increase in security requirements, biometric systems have been commonly utilized in many recognition applications. Multimodal has great demands to overcome the issue involved in single trait system and it has become one of the most important research areas of pattern recognition. We present multimodal face and finger veins biometric verification system to improve the performance. We presented multilevel score fusion of face and finger veins to provide better accuracy. Simulation results shows that proposed multimodal recognition system is very efficient to reduce the false rejection rate. Academic Journals 2010-09 Article PeerReviewed Yusof, Rubiyah and Razzak, Muhammad Imran and Khalid, Marzuki (2010) Multimodal face and finger veins biometric authentication. Scientific Research and Essays, 8 (17). 2529 - 2534. ISSN 1992-2248 https://academicjournals.org/journal/SRE/article-abstract/0A4C90B19352 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Yusof, Rubiyah Razzak, Muhammad Imran Khalid, Marzuki Multimodal face and finger veins biometric authentication |
| title | Multimodal face and finger veins biometric authentication |
| title_full | Multimodal face and finger veins biometric authentication |
| title_fullStr | Multimodal face and finger veins biometric authentication |
| title_full_unstemmed | Multimodal face and finger veins biometric authentication |
| title_short | Multimodal face and finger veins biometric authentication |
| title_sort | multimodal face and finger veins biometric authentication |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| work_keys_str_mv | AT yusofrubiyah multimodalfaceandfingerveinsbiometricauthentication AT razzakmuhammadimran multimodalfaceandfingerveinsbiometricauthentication AT khalidmarzuki multimodalfaceandfingerveinsbiometricauthentication |