Quality Estimation of Fingerprint Image Based on Neural Network

  • En Zhu
  • Jianping Yin
  • Chunfeng Hu
  • Guomin Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3611)

Abstract

Quality estimation of fingerprint image can be used to control image quality at the enrollment stage of automatic recognition system and guide the enhancement of fingerprint image. This paper proposes a neural network based fingerprint image quality estimation method. It estimates the correctness of ridge orientation of each local image block using neural network and then computes the global image quality based on the local orientation correctness. The proposed method is used to guide the fingerprint enrollment and improves the accuracy of the automatic fingerprint recognition system.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • En Zhu
    • 1
  • Jianping Yin
    • 1
  • Chunfeng Hu
    • 1
  • Guomin Zhang
    • 1
  1. 1.School of Computer ScienceNational University of Defense TechnologyChangshaChina

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