DocumentCode :
2143702
Title :
An Enhancing Fingerprint Template Protection Method
Author :
Chen Kaizhi ; Hu Aiqun
Author_Institution :
Coll. of Inf. Sci. & Eng., Southeast Univ., Nanjing, China
fYear :
2013
fDate :
27-29 Sept. 2013
Firstpage :
275
Lastpage :
279
Abstract :
The paper proposes a dual cancellable fingerprint template method based on BioHashing and Fuzzy Commitment. In the new method, firstly, Finger Code extracted from fingerprint image is noninvertibly mapped into a string of binary bits by BioHashing, and then the bit string is bound with a key by Fuzzy Commitment to generate the final template data stored in the database. It can overcome threat of replay attack in the approach of biometric feature transformation, and also avoid latent leakage of original template feature. in addition, as for the poor recognition when the random matrix is public in BioHashing, we also proposes some improvements, including aligning fingerprints with both fingerprint core point and minutiae, and assigning a random point instead of the core point as the reference point of Finger Code. These improvements enhance the ability of fingerprint recognition, and reduce the rate of failure to enroll, and also increase the difficulty of crack for attackers.
Keywords :
cryptography; fingerprint identification; fuzzy set theory; image coding; image matching; random processes; string matching; visual databases; BioHashing; FingerCode extraction; binary bit string; biometric feature transformation; dual cancellable fingerprint template method; fingerprint image; fingerprint recognition; fingerprint template protection method enhancement; fuzzy commitment; latent leakage; noninvertible mapping; original template feature; random matrix; random point; replay attack; template data; Authentication; Databases; Feature extraction; Fingerprint recognition; Image matching; Vectors; Fingerprint Match; Fingerprint Recognition; Minutiae Match; Texture Feature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2013 5th International Conference on
Conference_Location :
Mathura
Type :
conf
DOI :
10.1109/CICN.2013.65
Filename :
6657999
Link To Document :
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