Quality estimation of fingerprint image based on neural network

Authors:
En Zhu;Jianping Yin;Chunfeng Hu;Guomin Zhang
Affiliations:
School of Computer Science, National University of Defense Technology, Changsha, China;School of Computer Science, National University of Defense Technology, Changsha, China;School of Computer Science, National University of Defense Technology, Changsha, China;School of Computer Science, National University of Defense Technology, Changsha, China
Venue:
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Year:
2005

Citing 2
Cited 2

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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.