Fingerprint indexing is an efficient technique that greatly improves the performance of automated fingerprint identification systems. We propose a continuous fingerprint indexing method based on location, direction estimation and correlation of fingerprint singular points. Location and direction estimation are achieved simultaneously by applying a T-shape model to directional field of fingerprint images. The T-shape model analyzes homocentric sectors around the candidate singular points to find lateral-axes and further main-axes. Then a distortion-tolerant filter of minimum average correlation energy is utilized to obtain a correlation-based similarity measure which gives the evidence of searching priority. The experiment is performed by 400-fingerprint retrieval from 10,000 templates and the mean search space is only 3.46% of the whole dataset.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Fingerprint indexing based on singular point correlation


    Contributors:
    Tong Liu, (author) / Guocai Zhu, (author) / Chao Zhang, (author) / Pengwei Hao, (author)


    Publication date :

    2005-01-01


    Size :

    377816 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Fingerprint Indexing Based on Singular Point Correlation

    Liu, T. / Zhu, G. / Zhang, C. et al. | British Library Conference Proceedings | 2005


    Fingerprint Classification by Ridgeline and Singular Point Analysis

    Liu, Wei / Chen, Yonghui / Wan, Fang | IEEE | 2008


    The problem of fingerprint identification: A reference database indexing method based on Delaunay triangulation

    Khachai, M. Y. / Leshko, A. S. / Dremin, A. V. | British Library Online Contents | 2014


    Indexing apparatus and indexing method

    ERICKSON JEFFREY S / LOUIE MICHAEL K | European Patent Office | 2022

    Free access

    INDEXING APPARATUS AND INDEXING METHOD

    JORDAN S ERICKSON / LOUIE MICHAEL K | European Patent Office | 2022

    Free access