A robust structural fingerprint restoration

  • M. Hassan Ghassemian Yazdi
Poster Session D: Biomedical Applications, Detection, Control & Surveillance, Inspection, Optical Character Recognition
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1311)

Abstract

Fast and accurate segmentation of fingerprints is essential to each AFIS (Automatic Fingerprint Identification System). Smudged furrows and cut ridges in the image of a fingerprint is the major problem in any AFIS. This paper investigates a new on-line ridges detection method that reduces the complexity and costs associated with the fingerprint identification procedure. A new structural algorithm for restoration of the ridges is described. This algorithm is based on unsupervised fuzzy classification technique. With no cost of time, some new features, such as direction of ridges, have been extracted. The accuracy and speed of the proposed method is tested for a large number of fingerprint images with different initial qualities, and is found to be excellent compared to the conventional methods. The results show a significant improvement in identification/verification performance.

Keywords

Membership Function Fingerprint Image Image Segmentation Technique Fingerprint Identification Noisy Region 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • M. Hassan Ghassemian Yazdi
    • 1
  1. 1.Intelligent Signal Processing Research Center Department of Electrical EngineeringTarbiat Modares UniversityTehranIran

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