NDLI: A hierarchical algorithm for multi-feature based fingerprint identification

Content Provider	IEEE Xplore Digital Library
Author	Fanglin Chen Jie Zhou
Copyright Year	2010
Description	Author affiliation: State Key Laboratory on Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Automation, Tsinghua University, Beijing 100084, China (Fanglin Chen; Jie Zhou)
Abstract	There are different features, such as minutiae, orientation-based minutia descriptor, FingerCode, ridge feature map, orientation map, and density map, to represent fingerprints. Previous studies showed that the performance can be improved by combining these features through a fusion strategy. However, the more features are used, the more time is consumed. In fingerprint verification application, it is tolerated for the system is one-to-one matching. But in automatic fingerprint identification systems (AFIS) which is one-to-N matching (N is the number of fingerprint in the database and it is usually very large), it is not acceptable. In this paper, a fast algorithm for multi-feature based fingerprint identification is proposed. A hierarchical strategy is utilized to quickly discard most false matchings in different stages. Experimental results show that the proposed algorithm can reduce the searching time a lot while preserves the searching ratio.
Starting Page	3093
Ending Page	3096
File Size	128596
Page Count	4
File Format	PDF
ISBN	9781424479924
ISSN	15224880
e-ISBN	9781424479948
e-ISBN	9781424479931
DOI	10.1109/ICIP.2010.5654281
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-26
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fingerprint recognition Databases Feature extraction Support vector machines Training data Training TV hierarchical structure AFIS fingerprint verification multiple features
Content Type	Text
Resource Type	Article

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