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Thesis_TuoLi.pdf (1.62 MB)
ETD Abstract Container
Abstract Header
Fingerprint Identification by Improved Method of Minutiae Matching
Author Info
Li, Tuo
ORCID® Identifier
http://orcid.org/0000-0001-9019-3990
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=miami1484672769912832
Abstract Details
Year and Degree
2017, Master of Science, Miami University, Computational Science and Engineering.
Abstract
In this study, a new fingerprint identification method based on improved matching algorithm and dual-image template is proposed. While the algorithm is tested with the FVC2002 fingerprint database, which has a large number of fingerprint images with various image sizes, scanned areas of fingers, and different extents of blur and shade, the proposed algorithm demonstrates superior performance compared with a conventional fingerprint matching algorithm. By taking advantage of dual-image template, the proposed matching algorithm also relaxes the requirement on fingerprint image quality for fingerprint matching.
Committee
Chi-Hao Cheng (Advisor)
Qihou Zhou (Committee Member)
Yamuna Rajasekhar (Committee Member)
Pages
51 p.
Subject Headings
Computer Engineering
Keywords
fingerprint Identification
;
matching algorithm
;
minutiae
;
false match rate
;
false non-match rate
;
equal error rate
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Citations
Li, T. (2017).
Fingerprint Identification by Improved Method of Minutiae Matching
[Master's thesis, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1484672769912832
APA Style (7th edition)
Li, Tuo.
Fingerprint Identification by Improved Method of Minutiae Matching.
2017. Miami University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=miami1484672769912832.
MLA Style (8th edition)
Li, Tuo. "Fingerprint Identification by Improved Method of Minutiae Matching." Master's thesis, Miami University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=miami1484672769912832
Chicago Manual of Style (17th edition)
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Document number:
miami1484672769912832
Download Count:
1,190
Copyright Info
© 2017, all rights reserved.
This open access ETD is published by Miami University and OhioLINK.