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篇名
Fingerprint Liveness Detection Adapted to Different Fingerprint Sensors Based on Multiscale Wavelet Transform and Rotation-Invarient Local Binary Pattern
並列篇名
Fingerprint Liveness Detection Adapted to Different Fingerprint Sensors Based on Multiscale Wavelet Transform and Rotation-Invarient Local Binary Pattern
作者 Chengsheng YuanXingming Sun
英文摘要
In recent years, fingerprint authentication systems are convenient for us to verify the identity of the user by extracting and analysing these biometric features, so they have been rapidly developed in our daily life. However, current existing problem is that fingerprint authentication systems are vulnerable to spoofing attacks, such as artificial fake fingerprints. Moreover, the classification accuracy of traditional liveness detection methods for different sensors is not satisfactory. Therefore, in order to solve these spoofing attacks and enhance the classification performance for samples of different fingerprint sensors, a new software-based fingerprint liveness detection method, which is based on the multiscale wavelet transform and the rotaion-invarient local binary pattern (RILBP), was proposed in this paper. The fingerprint samples are derived from four different fingerprint sensors in LivDet 2011. Experimental results demonstrate that our method can detect the fingerprint liveness with higher classification performance compared with other methods of fingerprint liveness detection.
起訖頁 091-098
關鍵詞 Fingerprint liveness detectionFingerprint sensorMultiscale wavelet transformRotation-invarient local binary pattern
刊名 網際網路技術學刊  
期數 201801 (19:1期)
出版單位 台灣學術網路管理委員會
DOI 10.3966/160792642018011901008  複製DOI
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