Fingerprint Liveness Detection Using Local Ridge Frequencies and Multiresolution Texture Analysis Techniques

Contourlet-Based Fingerprint Antispoofing

“…Our fused signature (fusion of energy and co-occurrence signatures) is found to yield highest accuracy (98.59%). We found that our Contourlet-based method is more efficient than the related waveletbased method [19]. Also, our method needs only one image to detect liveness; hence it reduces the cost of a biometric system as no additional hardware is required.…”

“…We found that the method [19] provides 97.33% accuracy. We found that (see Figure 4) our proposed features (energy, co-occurrence and fused) using recent Contourlet transform clearly outperform wavelet-based method [19]. However, curvelet-based co-occurrence features [18] yield slightly more accuracy than the Contourlet-based co-occurrence features.…”

“…We implement the method in [19] and test it on our databases consisting of both real and spoof fingerprint images. We found that the method [19] provides 97.33% accuracy. We found that (see Figure 4) our proposed features (energy, co-occurrence and fused) using recent Contourlet transform clearly outperform wavelet-based method [19].…”

“…First is our curvelet-based method [18] and second one is Abhyankar and Schuckers' single-image-based method [19] using wavelets and fuzzy-c-means classifier. We implement the method in [19] and test it on our databases consisting of both real and spoof fingerprint images. We found that the method [19] provides 97.33% accuracy.…”

Fingerprint Liveness Detection Using Gray Level Co-Occurrence Matrix Based Texture Feature

“…However, it is difficult in describing the texture features of fingerprint images. In 2006, Abhyankar and Schuckers [17] proposed a fingerprint liveness detection method, which is used to minimize the energy associated with phase and orientation maps, multiresolution texture analysis techniques are used. Besides, cross ridge frequency analysis of fingerprint images is performed through statistical measures and weighted average phase.…”