Quality Estimation of Fingerprint Image Based on Neural Network


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.

DOI: 10.1007/11539117_10

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@inproceedings{Zhu2005QualityEO, title={Quality Estimation of Fingerprint Image Based on Neural Network}, author={En Zhu and Jianping Yin and Chunfeng Hu and Guomin Zhang}, booktitle={ICNC}, year={2005} }