UM
Palmprint Recognition Based on Complete Direction Representation
Jia, Wei; Zhang, Bob; Lu, Jingting; Zhu, Yihai; Zhao, Yang; Zuo, Wangmeng; Ling, Haibin
2017-09
Source PublicationIEEE TRANSACTIONS ON IMAGE PROCESSING
ISSN1057-7149
Volume26Issue:9Pages:4483-4498
AbstractDirection information serves as one of the most important features for palmprint recognition. In the past decade, many effective direction representation (DR)-based methods have been proposed and achieved promising recognition performance. However, due to an incomplete understanding for DR, these methods only extract DR in one direction level and one scale. Hence, they did not fully utilize all potentials of DR. In addition, most researchers only focused on the DR extraction in spatial coding domain, and rarely considered the methods in frequency domain. In this paper, we propose a general framework for DR-based method named complete DR (CDR), which reveals DR by a comprehensive and complete way. Different from traditional methods, CDR emphasizes the use of direction information with strategies of multi-scale, multi-direction level, multi-region, as well as feature selection or learning. This way, CDR subsumes previous methods as special cases. Moreover, thanks to its new insight, CDR can guide the design of new DR-based methods toward better performance. Motived this way, we propose a novel palmprint recognition algorithm in frequency domain. First, we extract CDR using multi-scale modified finite radon transformation. Then, an effective correlation filter, namely, band-limited phase-only correlation, is explored for pattern matching. To remove feature redundancy, the sequential forward selection method is used to select a small number of CDR images. Finally, the matching scores obtained from different selected features are integrated using score-level-fusion. Experiments demonstrate that our method can achieve better recognition accuracy than the other state-of-the-art methods. More importantly, it has fast matching speed, making it quite suitable for the large-scale identification applications.
KeywordBiometrics palmprint recognition complete direction representation correlation filters
DOI10.1109/TIP.2017.2705424
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000405701500002
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
The Source to ArticleWOS
Fulltext Access
Citation statistics
Cited Times [WOS]:24   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Recommended Citation
GB/T 7714
Jia, Wei,Zhang, Bob,Lu, Jingting,et al. Palmprint Recognition Based on Complete Direction Representation[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2017,26(9):4483-4498.
APA Jia, Wei.,Zhang, Bob.,Lu, Jingting.,Zhu, Yihai.,Zhao, Yang.,...&Ling, Haibin.(2017).Palmprint Recognition Based on Complete Direction Representation.IEEE TRANSACTIONS ON IMAGE PROCESSING,26(9),4483-4498.
MLA Jia, Wei,et al."Palmprint Recognition Based on Complete Direction Representation".IEEE TRANSACTIONS ON IMAGE PROCESSING 26.9(2017):4483-4498.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Jia, Wei]'s Articles
[Zhang, Bob]'s Articles
[Lu, Jingting]'s Articles
Baidu academic
Similar articles in Baidu academic
[Jia, Wei]'s Articles
[Zhang, Bob]'s Articles
[Lu, Jingting]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Jia, Wei]'s Articles
[Zhang, Bob]'s Articles
[Lu, Jingting]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.