An overview of uni- and multi-biometric identification of identical twins
Biometric techniques can differentiate identical twins, and this makes the techniques a subject of interest. Studies on biometric techniques have been conducted in many disciplines. Unimodal biometric systems with twins, however, have issues including intra-class variations, noisy data, limited free...
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| Format: | Article |
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Institute of Electronics and Information Engineers
2019
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| _version_ | 1796865212537634816 |
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| author | Mohammed, B. O. Shamsuddin, S. M. Hasan, S. |
| author_facet | Mohammed, B. O. Shamsuddin, S. M. Hasan, S. |
| author_sort | Mohammed, B. O. |
| collection | ePrints |
| description | Biometric techniques can differentiate identical twins, and this makes the techniques a subject of interest. Studies on biometric techniques have been conducted in many disciplines. Unimodal biometric systems with twins, however, have issues including intra-class variations, noisy data, limited freedom levels, non-universality, vulnerability to spoof attacks, and intolerable rates of error. Several of these limitations are manageable through the use of multimodal biometric systems that combine the evidence brought by many sources of information. This survey highlights the relevant literature, the accessible datasets for research, and the subjects of uncertainty, and proposes future research. |
| first_indexed | 2024-03-05T20:53:31Z |
| format | Article |
| id | utm.eprints-91362 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T20:53:31Z |
| publishDate | 2019 |
| publisher | Institute of Electronics and Information Engineers |
| record_format | dspace |
| spelling | utm.eprints-913622021-06-30T12:08:17Z http://eprints.utm.my/91362/ An overview of uni- and multi-biometric identification of identical twins Mohammed, B. O. Shamsuddin, S. M. Hasan, S. QA75 Electronic computers. Computer science Biometric techniques can differentiate identical twins, and this makes the techniques a subject of interest. Studies on biometric techniques have been conducted in many disciplines. Unimodal biometric systems with twins, however, have issues including intra-class variations, noisy data, limited freedom levels, non-universality, vulnerability to spoof attacks, and intolerable rates of error. Several of these limitations are manageable through the use of multimodal biometric systems that combine the evidence brought by many sources of information. This survey highlights the relevant literature, the accessible datasets for research, and the subjects of uncertainty, and proposes future research. Institute of Electronics and Information Engineers 2019 Article PeerReviewed Mohammed, B. O. and Shamsuddin, S. M. and Hasan, S. (2019) An overview of uni- and multi-biometric identification of identical twins. IEIE Transactions on Smart Processing and Computing, 8 (1). pp. 71-84. ISSN 2287-5255 http://www.dx.doi.org/10.5573/IEIESPC.2019.8.1.071 DOI: 10.5573/IEIESPC.2019.8.1.071 |
| spellingShingle | QA75 Electronic computers. Computer science Mohammed, B. O. Shamsuddin, S. M. Hasan, S. An overview of uni- and multi-biometric identification of identical twins |
| title | An overview of uni- and multi-biometric identification of identical twins |
| title_full | An overview of uni- and multi-biometric identification of identical twins |
| title_fullStr | An overview of uni- and multi-biometric identification of identical twins |
| title_full_unstemmed | An overview of uni- and multi-biometric identification of identical twins |
| title_short | An overview of uni- and multi-biometric identification of identical twins |
| title_sort | overview of uni and multi biometric identification of identical twins |
| topic | QA75 Electronic computers. Computer science |
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