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A Template Generation and Improvement Approach for Finger-Vein Recognition., and . Information, 10 (4): 145 (2019)A parallel recurrence method for the fast computation of Zernike moments., , , and . Applied Mathematics and Computation, 219 (4): 1549-1561 (2012)A comment on: "Fast and numerically stable methods for the computation of Zernike moments" by Singh et al. [Pattern Recognition, 43(2010), Pages 2497-2506]., , and . Pattern Recognition, 44 (4): 996-997 (2011)Finger-Vein Quality Assessment Based on Deep Features From Grayscale and Binary Images., and . IJPRAI, 33 (11): 1940022:1-1940022:19 (2019)Deep Representation for Finger-Vein Image-Quality Assessment., and . IEEE Trans. Circuits Syst. Video Techn., 28 (8): 1677-1693 (2018)Deep neural networks-based rolling bearing fault diagnosis., , , , , and . Microelectronics Reliability, (2017)Quality assessment of finger-vein image., , , and . APSIPA, page 1-4. IEEE, (2012)An Iterative Deep Neural Network for Hand-Vein Verification., , , and . IEEE Access, (2019)BIM2RT: BWAS-immune mechanism based multipath reliable transmission with fault tolerance in wireless sensor networks., , , , , and . Swarm and Evolutionary Computation, (2019)A Kernel Gabor-Based Weighted Region Covariance Matrix for Face Recognition., , , and . Sensors, 12 (6): 7410-7422 (2012)