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