DocumentCode :
1781790
Title :
Minutiae based fingerprint image hashing
Author :
Muthu, Rajesh ; Bouridane, Ahmed ; Khelifi, Fouad
Author_Institution :
Fac. of Eng. & Environ., Northumbria Univ., Newcastle upon Tyne, UK
fYear :
2014
fDate :
3-5 Nov. 2014
Firstpage :
696
Lastpage :
700
Abstract :
This paper proposes a robust minutiae based fingerprint image hashing technique. The idea is to incorporate the orientation and descriptor in the minutiae of fingerprint images using SIFT-Harris feature points. A recent shape context based perceptual hashing method has been compared against the proposed technique. Experimentally, the proposed technique has been shown to deliver better robustness against image processing operations including JPEG lossy compression and geometric attacks such as rotation and translation.
Keywords :
cryptography; feature extraction; fingerprint identification; transforms; JPEG lossy compression; SIFT-Harris feature points; geometric attacks; image processing; minutiae descriptor; minutiae orientation; robust minutiae based fingerprint image hashing technique; rotation; shape context based perceptual hashing method; translation; Context; Feature extraction; Fingerprint recognition; Image matching; Robustness; Shape; Vectors; Minutiae; feature extraction; fingerprint image hashing; shape contexts;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Decision and Information Technologies (CoDIT), 2014 International Conference on
Conference_Location :
Metz
Type :
conf
DOI :
10.1109/CoDIT.2014.6996981
Filename :
6996981
Link To Document :
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