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Addis Ababa University Libraries Electronic Thesis and Dissertations: AAU-ETD! >
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http://hdl.handle.net/123456789/2904
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| Title: | FINGERPRINT RECOGNITION USING HYBRID MATCHING ALGORITHM |
| Authors: | BINIYAM, MELESE |
| Advisors: | Dr. ASSEFA DAGNE |
| Keywords: | Gabor filter
absolute average deviation from the mean
minutiae
local frequency
local orientation
Fingerprint recognition
Image processing |
| Copyright: | Aug-2003 |
| Date Added: | 10-May-2012 |
| Publisher: | AAU |
| Abstract: | Fingerprint matching is one of the most important problems in fingerprint recognition
system. Generally, fingerprint matching algorithm can be classified into two: minutiae based
and non‐minutiae based. In minutiae based matching, ridge endings and ridge bifurcations
are used as discriminative features for matching, but in non‐minutiae based, features other
than minutiae are used.
Hybrid approaches by combining minutiae with other non‐minutiae based matching
methods are used to improve fingerprint matching methods. In this paper, alignment‐based
elastic matching algorithm, is used for minutiae based matching and new non‐minutiae
method proposed which solve the shortcomings of the algorithms proposed by Jain et.al.
The experiment was done on 320 fingerprints of Fingerprint Verification Competition 2002
set‐B databases and showed that the hybrid matching algorithm improved the Equal Error
Rate from ~11.8 % to 7.55% than the minutiae based matching algorithm. |
| URI: | http://hdl.handle.net/123456789/2904 |
| Appears in: | Thesis - Computer Engineering
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Files in This Item:
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Size | Format |
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| 13 | | 4.93 MB | Adobe PDF | View/Open |
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