A Performance Evaluation of Classic Convolutional Neural Networks for 2D and 3D Palmprint and Palm Vein Recognition  

作　　者：Wei Jia Jian Gao Wei Xia Yang Zhao Hai Min Jing-Ting Lu 

机构地区：[1]School of Computer Science and Information Engineering,Hefei University of Technology,Hefei 230009,China [2]Anhui Province Key Laboratory of Industry Safety and Emergency Technology,Hefei 230009,China [3]Institution of Industry and Equipment Technology,Hefei University of Technology,Hefei 230009,China

出　　处：《International Journal of Automation and computing》2021年第1期18-44,共27页国际自动化与计算杂志（英文版）

基　　金：National Science Foundation of China(Nos.61673157,62076086,61972129 and 61702154);Key Research and Development Program in Anhui Province(Nos.202004d07020008 and 201904d07020010).

摘　　要：Palmprint recognition and palm vein recognition are two emerging biometrics technologies.In the past two decades,many traditional methods have been proposed for palmprint recognition and palm vein recognition,and have achieved impressive results.However,the research on deep learningbased palmprint recognition and palm vein recognition is still very preliminary.In this paper,in order to investigate the problem of deep learning based 2D and 3D palmprint recognition and palm vein recognition indepth,we conduct performance evaluation of seventeen representative and classic convolutional neural networks(CNNs)on one 3D palmprint database,five 2D palmprint databases and two palm vein databases.A lot of experiments have been carried out in the conditions of different network structures,different learning rates,and different numbers of network layers.We have also conducted experiments on both separate data mode and mixed data mode.Experimental results show that these classic CNNs can achieve promising recognition results,and the recognition performance of recently proposed CNNs is better.Particularly,among classic CNNs,one of the recently proposed classic CNNs,i.e.,EfficientNet achieves the best recognition accuracy.However,the recognition performance of classic CNNs is still slightly worse than that of some traditional recognition methods.

关 键 词：Performance evaluation convolutional neural network(CNN) BIOMETRICS PALMPRINT palm vein deep learning 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP183[自动化与计算机技术—计算机科学与技术]