Geometric Hashing: An Overview
IEEE Computational Science & Engineering
Secure smartcardbased fingerprint authentication
WBMA '03 Proceedings of the 2003 ACM SIGMM workshop on Biometrics methods and applications
Finding the original point set hidden among chaff
ASIACCS '06 Proceedings of the 2006 ACM Symposium on Information, computer and communications security
Securing Fingerprint Template: Fuzzy Vault with Helper Data
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Automatic alignment of fingerprint features for fuzzy fingerprint vault
CISC'05 Proceedings of the First SKLOIS conference on Information Security and Cryptology
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Recently, a cryptographic construct, called fuzzy vault, has been proposed for crypto-biometric systems, and some implementations for fingerprint have been reported to protect the stored fingerprint template by hiding the fingerprint features, i.e., adding "chaff" minutiae into the original minutiae set. Also, solutions to the most challenging issue in applying the fuzzy vault to fingerprint(i.e., "align" the input fingerprint with the stored fingerprint template in the domain of the fuzzy vault) have been proposed. One of the solutions exploits the idea of the geometric hashingto solve the auto-alignment problem. In this paper, we analyze the feature distribution of the generated hash table as a stored fingerprint template and improve the security of the geometric hashing-based fuzzy vault by uniformly distributing the features in the stored fingerprint template. The goals of this addition make the feature distribution of the hash table for the chaff minutiae similar to that of the real minutiae as well as the feature distribution of the fingerprint image for both types of minutiae uniform. Based on the experimental results, we confirm that the proposed approach can perform the fingerprint verification more securely without a significant degradation of the verification accuracy.