Wei-guo Sheng

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Passenger profiling plays a vital part of commercial aviation security, but classical methods become very inefficient in handling the rapidly increasing amounts of electronic records. This paper proposes a deep learning approach to passenger profiling. The center of our approach is a Pythagorean fuzzy deep Boltzmann machine (PFDBM), whose parameters are(More)
OBJECTIVE To establish the HPLC fingerprints of Phyllanthus urinaria L. METHODS The HPLC was used to establish the fingerprint of Phyllanthus urinaria. RESULTS The HPLC fingerprint profiles of Phyllanthus urinaria contains 10 common peaks. The relative retention time and the relative area of the common peaks were deterimined. CONCLUSION The(More)
Fingerprint scanners usually suffer from spoofing attack of fake fingerprints. To address this issue, a pore based liveness detection method has been proposed in this paper. The method first extracts the sweat pores from the grayscale fingerprint image. This is achieved by processing the fingerprint image using the Gaussian filters, whose parameters are(More)
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