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The Extraction of Fingerprint Corepoint And Region Separation using Labeling for Gate Security

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2008, 13(6), pp.243-252
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

이건익 1 전영철 1 김강 2

1관동대학교
2강원관광대학

Accredited

ABSTRACT

This study is to suggest the extraction algorithms of fingerprint corepoint and region separation using the labeling for gate security in order that it might be applied to the fingerprint recognition effectively. The gate security technology is entrance control, attendance management, computer security, electronic commerce authentication, information protection and so on. This study is to extract the directional image by dividing the original image in 128×128 size into the size of 4×4 pixel. This study is to separate the region of directional smoothing image extracted by each directional by using the labeling, and extract the block that appeared more than three sorts of change in different directions to the corepoint. This researcher is to increase the recognition rate and matching rate by extracting the corepoint through the separation of region by direction using the maximum direction and labeling, not search the zone of feasibility of corepoint or candidate region of corepoint used in the existing method. According to the result of experimenting with 300 fingerprints, the poincare index method is 94.05%, the proposed method is 97.11%.

Citation status

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