… for palmprint identification. This paper proposes a new, deep learning based, contactless
palmprint identification … With the design of effective residual feature network, our model can …

… [22], as a feature extractor for the palmprint image in this paper. The … palmprint features
extraction, and extensively evaluate the CNN features for palmprint verification and identification …

… of palmprint literature, the improvement in the palmprint authentication performance using
score level and feature level … the rank level combination from multiple palmprint matchers that …

… In fact, line features play an important role in palmprint identification [3]… It is noted that texture
representation for coarse-level palmprint … palmprint images for online personal identification. …

… palm identification using Gabor and wide principal line features; the results of this research
were a comparison of identification … This research using the PCA extraction feature to get high …

… wide correlation of features among two palmprint images, a … The CNNs have so far not been
explored for the palmprint … the effective features for more accurate palmprint identification. …

… Our contribution is able to build a complete palmprints identification system. Our following
experiments have been performed on an AMD Dual Core Processor system running Matlab …

… level and decision-level of three representations of palmprint are studied. Fusing at the
representation-level … length of our feature vectors made it difficult to scale each feature fairly at the …

… Moreover, no two palmprints from different individuals are same, and they will not feel uneasy
to have their palmprint images taken for testing. Our palmprint recognition system is based …

… used for identification. In this paper multimodal identification is done using feature level
fusion … And here performance analysis checks in between score level and feature level fusion. …