Fixed-length asymmetric binary hashing for fingerprint verification through GMM-SVM based representations

Topçu, Berkay and Erdoğan, Hakan (2019) Fixed-length asymmetric binary hashing for fingerprint verification through GMM-SVM based representations. Pattern Recognition, 88 . pp. 409-420. ISSN 0031-3203 (Print) 1873-5142 (Online)

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Abstract

Fingerprint minutiae information is an unordered and variable-sized collection of minutiae locations and orientations. Advanced template protection algorithms which require a fixed-length binary template cannot operate on minutiae points. In this paper, we propose a novel framework that provides practical solutions that can be used in developing secure fingerprint verification systems. The framework, by using a GMM-SVM fingerprint representation scheme, first generates fixed-length feature vectors from minutiae point sets. The fixed-length representation enables the application of modern cryptographic alternatives based on homomorphic encryption to minutiae template protection. Our framework then utilizes an asymmetric locality sensitive hashing (ALSH) in order to convert the generated fixed-length but real valued GMM-SVM feature vector to a binary bit string. This binarization step transforms the matching process to calculating Hamming distance between binary vectors and expedites fingerprint matching. The verification performance of the framework is evaluated on FVC2002DB1A and DB2A databases.
Item Type: Article
Uncontrolled Keywords: Fingerprint verification; Biometric template protection; Minutiae protection; Fixed-length minutiae representation
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Electronics
Faculty of Engineering and Natural Sciences
Depositing User: Berkay Topçu
Date Deposited: 27 Mar 2020 18:18
Last Modified: 07 Jun 2023 12:23
URI: https://research.sabanciuniv.edu/id/eprint/37113

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