Systematic Methods for the Computation of the Directional Fields and Singular Points of Fingerprints

A.M. Bazen, Sabih H. Gerez

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    494 Citations (Scopus)

    Abstract

    The first subject of this paper is the estimation of a high resolution directional field of fingerprints. Traditional methods are discussed and a new method, based on principal component analysis, is proposed. The method not only computes the direction in any pixel location, but its coherence as well. It is proven that this method provides exactly the same results as the averaged square-gradient method that is known from literature. Undoubtedly, the existence of a completely different equivalent solution increases the insight into the problem's nature. The second subject of this paper is singular point detection. A very efficient algorithm is proposed that extracts singular points from the high-resolution directional field. The algorithm is based on the Poincare index and provides a consistent binary decision that is not based on post-processing steps like applying a threshold on a continuous resemblance measure for singular points. Furthermore, a method is presented to estimate the orientation of the extracted singular points. The accuracy of the methods is illustrated by experiments on a live-scanned fingerprint database.
    Original languageUndefined
    Pages (from-to)905-919
    Number of pages15
    JournalIEEE transactions on pattern analysis and machine intelligence
    Volume24
    Issue number7
    DOIs
    Publication statusPublished - Jul 2002

    Keywords

    • SCS-Safety
    • METIS-207587
    • IR-43863
    • Fingerprint recognition
    • Image Processing
    • orientation estimation
    • Principal component analysis
    • singular point extraction
    • directional field
    • EWI-869

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