Publication:
Integration of multiple soft biometrics for human identification

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dc.citedby23
dc.contributor.authorArigbabu O.A.en_US
dc.contributor.authorAhmad S.M.S.en_US
dc.contributor.authorAdnan W.A.W.en_US
dc.contributor.authorYussof S.en_US
dc.contributor.authorid56047591000en_US
dc.contributor.authorid24721182400en_US
dc.contributor.authorid6506665562en_US
dc.contributor.authorid16023225600en_US
dc.date.accessioned2023-05-29T05:59:35Z
dc.date.available2023-05-29T05:59:35Z
dc.date.issued2015
dc.descriptionIntegration; Search engines; Semantics; Biometric identifications; Computational approach; Descriptors; Human identification; Identification rates; Score fusion; Semantic descriptions; Soft biometrics; Biometricsen_US
dc.description.abstractWe 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/j.patrec.2015.07.014
dc.identifier.epage287
dc.identifier.scopus2-s2.0-84948080288
dc.identifier.spage278
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84948080288&doi=10.1016%2fj.patrec.2015.07.014&partnerID=40&md5=d0f2d30abc973daeb3d7cf254aa65673
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22202
dc.identifier.volume68
dc.publisherElsevieren_US
dc.sourceScopus
dc.sourcetitlePattern Recognition Letters
dc.titleIntegration of multiple soft biometrics for human identificationen_US
dc.typeArticleen_US
dspace.entity.typePublication
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