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Minutia handedness: A novel global feature for minutiae-based fingerprint matching
Cao, Kai1; Yang, Xin2; Chen, Xinjian3; Tao, Xunqiang2; Zang, Yali2; Liang, Jimin1; Tian, Jie1,2
Source PublicationPATTERN RECOGNITION LETTERS
2012-07-15
Volume33Issue:10Pages:1411-1421
SubtypeArticle
AbstractTraditional minutiae-based matching algorithms are challenged by the probability that minutiae from different regions of different fingers may not be well matched, and hence lead to erroneous matching results. In this paper we introduce a novel feature called minutia handedness to deal with this problem. First, reference points are detected and additional checking conditions are added to ensure that genuine and accurate reference points can be found. Second, minutia handedness is defined for each minutia according to the bending degree of its associated ridges or the position of the reference points. There are three types of minutiae handedness: right-handed, left-handed and non-handed. Finally, the matching rules between different types of minutiae handedness are set up. The proposed method is tested on eight data sets of FVC2002 (2002) and FVC2004 (2004). The experimental results indicate that the performance of a convectional fingerprint recognition algorithm can be improved by incorporating minutia handedness with a small increment of template size. (C) 2012 Elsevier B.V. All rights reserved.
KeywordFingerprint Matching Minutia Minutia Handedness Reference Point Global Feature
WOS HeadingsScience & Technology ; Technology
WOS KeywordSINGULAR POINTS ; CLASSIFICATION ; VERIFICATION ; SIMILARITY ; TRANSFORM ; IMAGES ; MODEL
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000305771400019
Citation statistics
Cited Times:10[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/4108
Collection中国科学院分子影像重点实验室
Corresponding AuthorTian, Jie
Affiliation1.Xidian Univ, Sch Life Sci & Technol, Life Sci Res Ctr, Xian 710071, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
3.NIH, Radiol & Imaging Sci Dept, Ctr Clin, Bethesda, MD 20892 USA
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Cao, Kai,Yang, Xin,Chen, Xinjian,et al. Minutia handedness: A novel global feature for minutiae-based fingerprint matching[J]. PATTERN RECOGNITION LETTERS,2012,33(10):1411-1421.
APA Cao, Kai.,Yang, Xin.,Chen, Xinjian.,Tao, Xunqiang.,Zang, Yali.,...&Tian, Jie.(2012).Minutia handedness: A novel global feature for minutiae-based fingerprint matching.PATTERN RECOGNITION LETTERS,33(10),1411-1421.
MLA Cao, Kai,et al."Minutia handedness: A novel global feature for minutiae-based fingerprint matching".PATTERN RECOGNITION LETTERS 33.10(2012):1411-1421.
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