… palmprint and the palmvein recognition often adopt similar solutions, we will review some
representative work in the field of palmprint recognition… set (comprising 2400 palmvein images …

… , XJTU_BF palmprint database, we perform palmprint identification with different category
ratios of training set and test set, ie, 1:1 and 1:2. Table 8 shows the identification accuracy and …

… a palmprint recognition approach based the convolutional neural network (CNN), which
consists of three main parts, namely, image … convolves the set of input feature maps with a set of …

… It should be noted that we use the same index set E under different numbers of training
images in CDR. Table VI summarizes the performance of different methods under various …

… and 3-D palmprint images are the contact-based images. For … based palmprint images and
contactless palmprint images are … based on the corresponding gallery sets selected from each …

… The evaluation protocol for the CASIA and IITD databases is the same as in the recent
palmprint survey [13], where the first four gallery images are for training and the rest for testing. …

… palmprint recognition and cross-dataset recognition. For (a) traditional recognition, the
samples of training set and test set … -dataset recognition, the samples of training set and test set …

… to identify palmprint. However, the current palmprint recognition algorithms are mainly based
on a single domain, ie both the training set and the test set belong to the same database. …

… The main features of the palmprint In this paper, we have proposed a palmprint recognition
… CASIA data set consists of 5,502 palmprint images taken from 312 persons. It also contains …

… ideal acquisition condition are not suitable for practical application of palmprint recognition.
Therefore, it is important to set up different databases to simulate different conditions and test …