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Quality Measures of Fingerprint Images

  • LinLin Shen
  • Alex Kot
  • WaiMun Koo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2091)

Abstract

In an automatic fingerprint identification system, it is desirable to estimate the image quality of the fingerprint image before it is processed for feature extraction. This helps in deciding on the type of image enhancements that are needed and in deciding on thresholds for the matcher in the case that dynamic thresholds are used. In this paper, we propose a Gabor-feature based method for determining the quality of the fingerprint images. An image is divided into Nw x w blocks. Gabor features of each block are computed first, then the standard deviation of the M Gabor features is used to determine the quality of this block. The results are compared with an existing model of quality estimation. Our analysis shows that our method can estimate the image quality accurately.

Keywords

Gabor Filter Orientation Field Fingerprint Image Gabor Feature Variance Algorithm 
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 2001

Authors and Affiliations

  • LinLin Shen
    • 1
  • Alex Kot
    • 1
  • WaiMun Koo
    • 1
  1. 1.School of Electrical and Electronic Engineering Nanyang Technological UniversitySingapore

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