Fingerprint Liveness Detection Using Histogram of Oriented Gradient Based Texture Feature,ERICDATA高等教育知識庫
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篇名
Fingerprint Liveness Detection Using Histogram of Oriented Gradient Based Texture Feature
並列篇名
Fingerprint Liveness Detection Using Histogram of Oriented Gradient Based Texture Feature
作者 Chengsheng YuanXingming Sun
英文摘要
Fingerprint authentication systems are widely used in civilian applications and governments. However, current problem is that fingerprints are easy to be imitated by artificial materials. Thus, spoof fingerprint detection has become increasingly significant. To solve the problem, a anti-spoofing mechanism, called FLD (fingerprint liveness detection), is used to discriminate spoof fingerprints from authentic fingerprints. In this paper, a new detection method using the histogram of oriented gradient with gamma correction is proposed. Firstly, gamma correction operation is used to eliminate the effects of poor quality fingerprints due to bad light and high brightness. Next, the sizes of captured images using different sensors are various, so images are zoomed to same scales through a bi-linear difference method. Then, features descriptors are described by the calculation of histogram of oriented gradient of pixels. Normalization operation is performed to remove the influence of abnormal features. Finally, the features representations are fed into SVM classifier with RBF. Experimental results on LivDet 2013 indicate that our method can yield a better classification performance compared with other methods.
起訖頁 1499-1507
關鍵詞 Fingerprint liveness detectionSVMGamma CorrectionHistogram of oriented gradientNormalization
刊名 網際網路技術學刊  
期數 201809 (19:5期)
出版單位 台灣學術網路管理委員會
DOI 10.3966/160792642018091905021   複製DOI
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