This paper presents an approach to generate secure minutiae information in fingerprint templates. Using triplets of minutia points, useful geometrical properties can be derived from minutia triplets to hide their coordinates, direction of minutia, and scale. This non-invertible transform enables matching from the results in the anonymous domain to fight against malicious attacks to biometrics. The goal is to achieve non-invertibility of the transformed templates without loss of discriminating capability. Proposed features can match two templates without alignment under low time complexity and memory requirement. The proposed approach is proven effective using the FVC2002 database to compare matching performances. The best result shows 3.61% of equal-error rate for the database DB2_A.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Matching with Secure Fingerprint Templates Using Non-invertible Transform


    Contributors:


    Publication date :

    2008-05-01


    Size :

    405029 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Synchronization Control of Chaos Based on Linear Invertible Transform

    Zhang, Q.-l. / Lu, L. | British Library Online Contents | 2008


    Learned Templates for Feature Extraction in Fingerprint Images

    Bhanu, B. / Tan, X. / IEEE | British Library Conference Proceedings | 2001



    Secure Image Steganography Using Dual-Tree Complex Wavelet Transform Block Matching

    Kadhim, Inas Jawad / Premaratne, Prashan / Vial, peter James | IEEE | 2018


    Invertible aircraft

    KEENNON MATTHEW TODD / KLINGEBIEL KARL ROBERT | European Patent Office | 2016

    Free access