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A Fingerprint Identification System using Large Database

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2005, 10(4), pp.203-211
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Jeonghee Cha 1 Seo Jeong-Man 2

1백석문화대학교
2한국재활복지대학

Candidate

ABSTRACT

In this paper, we propose a new automatic fingerprint identification system that identifies individuals in large databases. The algorithm consists of three steps: preprocessing, classification, and matching, in the classification, we present a new classification technique based on the statistical approach for directional image distribution. In matching, we also describe improved minutiae candidate pair extraction algorithm that is faster and more accurate than existing algorithm. In matching stage, we extract fingerprint minutiaes from its thinned image for accuracy, and introduce matching process using minutiae linking information. Introduction of linking information into the minutiae matching process is a simple but accurate way, which solves the problem of reference minutiae pair selection in comparison stage of two fingerprints quickly. This algorithm is invariant to translation and rotation of fingerprint. The proposed system was tested on 1000 fingerprint images from the semiconductor chip style scanner. Experimental results reveal false acceptance rate is decreased and genuine acceptance rate is increased than existing method.

Citation status

* References for papers published after 2023 are currently being built.