… neural network called EEPNet for palmprint recognition. To the … a lightweight CNN for
palmprint recognition. Two new loss … , which can improve the accuracy of palmprint recognition. …

… the applicability of MobileNet V2 deep convolutional neural networks on palmprint recognition
by fine-tuning a pretrained MobileNet neural networks. We also explore the performance …

… common problems in contactless palmprint recognition. To solve these problems, this
paper proposes a palmprint recognition approach based the convolutional neural network (CNN), …

… When using convolutional neural network for palmprint recognition, we do not need to …
convolutional neural network Alexnet is used for palmprint recognition, and its recognition rate can …

… This paper proposes a novel and successful method for recognizing palmprint based on
radial basis probabilistic neural network (RBPNN) proposed by us. The RBPNN is trained by the …

… proposed to perform palmprint recognition. Moreover, in order to make palmprint recognition
more accurate, we introduced 2DPCA technique into the extraction of palmprint features, …

… learning based 2D and 3D palmprint recognition and palm vein recognition in-depth, we …
classic convolutional neural networks (CNNs) on one 3D palmprint database, five 2D palmprint …

… base of fingerprint images, we design a neural network algorithm for fingerprint recognition.
… results on the application of neural network ideas to the problem of fingerprint matching. In …

… neural network (CompNet) with constrained learnable Gabor filters is proposed for contactless
palmprint recognition. … direction ordering information of the palmprint patterns by means of …

… fingerprint recognition. In this paper, we propose an end-toend deep learning framework for
fingerprint recognition using convolutional neural networks (… and perform recognition. We …