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Fake Fingerprint Detection Biometric System Using Neural Network Algorithm

Young-Hyun Baek, Byunggeun Kim, and Seock-Han Kim
Unioncommunity Co., Ltd, Seoul, Korea
Abstract—The fingerprint recognition system is the most used among various biometric methods. Biometric systems are vulnerable to fake attacks, and many studies have been done to solve it. Therefore, in this paper, we propose a fake fingerprint detection method using neural network. To evaluate the proposed method, we have evaluated the fake fingerprint detection method using various materials. Experimental results show that the detection rate for fake fingerprint is 97.6% on average, which proves an effective detection method. 

Index Terms—fingerprint, neural network, biometric, fake fingerprint

Cite: Young-Hyun Baek,Byunggeun Kim, and Seock-Han Kim, "Fake Fingerprint Detection Biometric System Using Neural Network Algorithm," International Journal of Signal Processing Systems, Vol. 6, No. 4, pp. 27-30, December 2018. doi: 10.18178/ijsps.6.4.27-30

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