7 Papers
19 Citations
Rui Lv is an academic researcher from Nanjing University of Information Science and Technology. The author has contributed to research in topics: Liveness & Fingerprint recognition. The author has an hindex of 5, co-authored 7 publications.
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Papers
A Novel Weber Local Binary Descriptor for Fingerprint Liveness Detection
TL;DR: A novel local descriptor named Weber local binary descriptor for fingerprint liveness detection (FLD) has been proposed and the results have proved that the proposed method obtains the best detection accuracy among the existing image local descriptors in FLD.
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Fingerprint liveness detection using multiscale difference co-occurrence matrix
TL;DR: A software-based fingerprint liveness detection method based on multiscale difference co-occurrence matrix (DCM) that achieves better accurate classification compared with the best algorithms of LivDet2013 and LivDet2011, while being able to recognize spoofed fingerprints with better recognition accuracy.
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Rotation-invariant Weber pattern and Gabor feature for fingerprint liveness detection
Zhihua Xia,Rui Lv,Xingming Sun +2 more
TL;DR: This paper proposes an effective feature extraction method for the FLD problem, which consists of two components, Weber local binary pattern (WLBP) and circularly symmetric Gabor feature (CSGF), analyzing the fingerprint images in both the spatial and frequency domains.
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Fingerprint Liveness Detection Using Difference Co-occurrence Matrix Based Texture Features
Zhihua Xia,Chengsheng Yuan,Xingming Sun,Rui Lv,Decai Sun,Guangyong Gao +5 more
- 30 Nov 2016
TL;DR: Wang et al. as mentioned in this paper proposed a software-based fingerprint liveness detection algorithm called difference co-occurrence matrix (DCM), which is constructed by calculating difference matrices of horizontal and vertical pixel values of images.
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