Local Discriminant Direction Binary Pattern for Palmprint Representation and Recognition
Fei,Lunke1; Zhang,Bob2; Xu,Yong3; Huang,Di4; Jia,Wei5; Wen,Jie3
2020-02-01
Source PublicationIEEE Transactions on Circuits and Systems for Video Technology
ISSN1051-8215
Volume30Issue:2Pages:468-481
AbstractDirection-based methods are the most powerful and popular palmprint recognition methods. However, there is no existing work that completely analyzes the essential differences among different direction-based methods and explores the most discriminant direction representation of a palmprint. In this paper, we attempt to establish the connection between the direction feature extraction model and the discriminability of direction features, and we propose a novel exponential and Gaussian fusion model (EGM) to characterize the discriminative power of different directions. The EGM can provide us with a new insight into the optimal direction feature selection of palmprints. Moreover, we propose a local discriminant direction binary pattern (LDDBP) to completely represent the direction features of a palmprint. Guided by the EGM, the most discriminant directions can be exploited to form the LDDBP-based descriptor for palmprint representation and recognition. Extensive experiment results conducted on four widely used palmprint databases demonstrate the superiority of the proposed LDDBP method over the state-of-the-art direction-based methods.
Keyworddirection binary pattern discriminant direction representation exponential and Gaussian fusion model Palmprint recognition
DOI10.1109/TCSVT.2019.2890835
URLView the original
Language英语
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Cited Times [WOS]:17   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorZhang,Bob
Affiliation1.School of Computer Science and Technology,Guangdong University of Technology,Guangzhou,510006,China
2.Department of Computer and Information Science,University of Macau,999078,Macao
3.Bio-Computing Research Center,Harbin Institute of Technology (Shenzhen),Shenzhen,518055,China
4.Beijing Advanced Innovation Center for Big Data and Brain Computing,Beihang University,Beijing,100191,China
5.School of Computer and Information,Hefei University of Technology,Hefei,230009,China
Corresponding Author AffilicationUniversity of Macau
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GB/T 7714
Fei,Lunke,Zhang,Bob,Xu,Yong,et al. Local Discriminant Direction Binary Pattern for Palmprint Representation and Recognition[J]. IEEE Transactions on Circuits and Systems for Video Technology,2020,30(2):468-481.
APA Fei,Lunke,Zhang,Bob,Xu,Yong,Huang,Di,Jia,Wei,&Wen,Jie.(2020).Local Discriminant Direction Binary Pattern for Palmprint Representation and Recognition.IEEE Transactions on Circuits and Systems for Video Technology,30(2),468-481.
MLA Fei,Lunke,et al."Local Discriminant Direction Binary Pattern for Palmprint Representation and Recognition".IEEE Transactions on Circuits and Systems for Video Technology 30.2(2020):468-481.
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