Integration of multiple soft biometrics for human identification
Integration; Search engines; Semantics; Biometric identifications; Computational approach; Descriptors; Human identification; Identification rates; Score fusion; Semantic descriptions; Soft biometrics; Biometrics
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Elsevier
2023
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my.uniten.dspace-222022023-05-29T13:59:35Z Integration of multiple soft biometrics for human identification Arigbabu O.A. Ahmad S.M.S. Adnan W.A.W. Yussof S. 56047591000 24721182400 6506665562 16023225600 Integration; Search engines; Semantics; Biometric identifications; Computational approach; Descriptors; Human identification; Identification rates; Score fusion; Semantic descriptions; Soft biometrics; Biometrics We propose a computational approach to human identification based on the integration of face and body related soft biometric traits. In previous studies on soft biometrics, several methods for human identification using semantic descriptions have been introduced. Though the results attained exhibit the effectiveness of such techniques in image retrieval and short term tracking of subjects, semantics literally limits the ability of a biometric system to provide conclusive identification. This paper presents a new framework for biometric identification based solely on multiple measured soft biometric traits. The paper describes techniques for extracting/estimating face and body based soft biometric traits from frame set. Furthermore, we utilized a sequential attribute combination method to perform attribute selection prior to integration at match score level. Finally, an evaluation of five score fusion techniques is performed. The results show that the proposed framework can be utilized to model an adequate soft biometric system with rank-1 identification rate of 88%. � 2015 Elsevier B.V. Final 2023-05-29T05:59:35Z 2023-05-29T05:59:35Z 2015 Article 10.1016/j.patrec.2015.07.014 2-s2.0-84948080288 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84948080288&doi=10.1016%2fj.patrec.2015.07.014&partnerID=40&md5=d0f2d30abc973daeb3d7cf254aa65673 https://irepository.uniten.edu.my/handle/123456789/22202 68 278 287 Elsevier Scopus |
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Integration; Search engines; Semantics; Biometric identifications; Computational approach; Descriptors; Human identification; Identification rates; Score fusion; Semantic descriptions; Soft biometrics; Biometrics |
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56047591000 |
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56047591000 Arigbabu O.A. Ahmad S.M.S. Adnan W.A.W. Yussof S. |
| format |
Article |
| author |
Arigbabu O.A. Ahmad S.M.S. Adnan W.A.W. Yussof S. |
| spellingShingle |
Arigbabu O.A. Ahmad S.M.S. Adnan W.A.W. Yussof S. Integration of multiple soft biometrics for human identification |
| author_sort |
Arigbabu O.A. |
| title |
Integration of multiple soft biometrics for human identification |
| title_short |
Integration of multiple soft biometrics for human identification |
| title_full |
Integration of multiple soft biometrics for human identification |
| title_fullStr |
Integration of multiple soft biometrics for human identification |
| title_full_unstemmed |
Integration of multiple soft biometrics for human identification |
| title_sort |
integration of multiple soft biometrics for human identification |
| publisher |
Elsevier |
| publishDate |
2023 |
| _version_ |
1806426356039286784 |
| score |
13.214268 |