Self Geometric Relationship-based matching for palmprint identification using SIFT

Alamghtuf, Jumma and Khelifi, Fouad (2017) Self Geometric Relationship-based matching for palmprint identification using SIFT. In: IWBF 2017 - 5th International Workshop on Biometrics and Forensics, 4th - 5th April 2017, Coventry, UK.

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Alamghtuf, Khelifi - Self Geometric Relationship-based matching for palmprint identification using SIFT.pdf - Accepted Version

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Official URL: https://doi.org/10.1109/IWBF.2017.7935093

Abstract

SIFT-based identification techniques have been broadly criticised in biometrics due to its high false matching rate. To overcome this weakness, a new method for SIFT-based palmprint matching, called the Self Geometric Relationship-based matching (SGR-Matching) is presented. While existing matching techniques consider only the relationship between the SIFT-points of the query image on one hand and the points in the reference image on the other hand, SGR-Matching also takes into account the geometric relationship between the SIFT-points within the query image in comparison with the relationship of the corresponding matched points in the reference image. Assessed with the proposed SGR-Matching, the SIFT-based palmprint identification system has been shown to improve the performance significantly. Furthermore, experimental results have shown the superiority of the proposed technique over state-of-the-art techniques.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Feature extraction, Histograms, Biometrics (access control), Encoding, Databases, Computers, Electronic mail
Subjects: G400 Computer Science
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Computer Science and Digital Technologies
Depositing User: Paul Burns
Date Deposited: 28 Jul 2017 15:00
Last Modified: 28 Jul 2017 15:17
URI: http://nrl.northumbria.ac.uk/id/eprint/31423

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