康文雄，博士，华南理工大学自动化科学与工程学院&未来技术学院教授，博导，智能科学与技术系副主任，广东省智能金融企业重点实验室副主任；华工-奔流电力人工智能联合实验室主任，华南理工大学生物特征识别与智能感知实验室（BIPLAB）负责人，曾挂职广东石油化工学院自动化学院院长（2018.12-2022.01）。目前为中国计算机学会（CCF）/中国图象图形学学会（CSIG）杰出会员，中国人工智能学会（CAAI）高级会员，IEEE/IAPR会员，中国人工智能学会模式识别专委会委员，中国人工智能学会智能交互专委会委员，自动化学会模式识别与机器智能专委会委员，自动化学会混合智能专业委员会，中国图象图形学学会视觉大数据专委会，中国人工智能学会教育工作委员会第二届委员会委员, 广州市天河区科协第七届委员会常务委员。2009.9-2010.6以及2016.11-2017.12分别作为研究人员和访问学者到瑞士苏黎世联邦高等工业大学和澳大利亚悉尼大学进行访问研究。目前主要研究兴趣：图像处理与模式识别 , 计算机视觉，自然语言处理 , 生物特征识别 , 深度学习。 

科研成果：近年来在多种IEEE 汇刊，Pattern Recognition，中国科学、自动化学报等国内外重要专业期刊以及AAAI，ECCV，ICCV，IJCB， ICASSP，ICPR等国内外人工智能，计算机视觉和生物特征识别的重要专业会议上发表及录用论文80多篇，其中JCR 一区期刊论文30余篇，10篇论文获得最佳论文奖、杰出论文奖和优秀论文奖，主编书籍1本。申请国际发明专利6项，授权国际专利4项，申请国家发明专利和实用新型专利70多项，授权40余项，转让专利18项，获得软件著作权9项。受邀组织，主持和参加了多个本领域的国内外学术会议，并担任了IEEE T-PAMI，IEEE T-IP，IEEE T-IFS，Pattern Recognition，计算机学报，自动化学报中英文版等国内外重要学术期刊的审稿人，以及ECCV，ICPR, IJCB, PRCV，ISBA，DICTA，ACMMM，中国控制会议和中国生物特征识别会议等国内外会议的程序委员会主席，领域主席，宣传主席，注册主席等，此外还担任国家、广东省、山东省以及厦门市的自然科学基金通讯评议专家和科技奖励评审专家等。

科研项目：近年来主持国家自然科学基金面上和青年项目在内的国家级项目5项、广东省自然科学基金，广东省科技计划项目，广东省教育部产学研结合项目等省部级项目10余项，研究内容包括：指静脉和掌静脉识别，手势估计和视频手势认证，多生物特征识别和仿冒攻击检测，目标检测、视频分析和理解。 此外与海康威视、海信电子、广电运通、南方电网以及广东机场等十多家企事业单位开展了项目合作，研究内容包括：电力场景和民航机场中的智能视频分析，现场作业人员的智能检测，识别和跟踪，文档图像分析与识别，3D手势估计和3D人体姿态估计，生物特征识别系统研发，嵌入式机器视觉应用，智能视觉传感器开发等。

本科教学：承担了本科生课程《图像处理与机器视觉》，《机器视觉与智能检测相关创新实践》，研究生课程《模式识别与机器视觉实践课》，《系统分析与集成》等；指导本科生参加各类专业竞赛，取得了包括国家级一等奖在内的多个奖项，包括第七届中国计算机学会服务计算学术会议软件服务创新大赛二等奖；泛珠三角大学生计算机作品赛总决赛金奖和最佳创新奖，第十一届全国大学生电子商务“创新、创意及创业”挑战赛国家一等奖和广东省特等奖；此外，近几年指导的本科毕业生中10余人获得校级“优秀本科毕业设计”。

研究生指导：目前指导博士后2名，在读博士生8名，硕士生10余名，指导的研究生多次获得国家/校长奖学金，广东省优秀研究生，以及华南理工大学优秀硕士学位论文。此外，在各类专业竞赛中，指导的研究生取得了包括国家级一等奖在内的多个奖项，如：第七届中国国际“互联网+”大学生创新创业大赛国赛铜奖，全国研究生智慧城市技术与创意设计大赛跨摄像头行人跟踪任务一等奖，中国研究生电子设计竞赛华南区一等奖，Interspeech2021 个性化语音唤醒挑战赛冠军，第六届和第八届广东省数字图像图形创作大赛一等奖。硕士研究生毕业后基本去往华为，百度，阿里，腾讯，京东，英伟达，字节跳动，海康威视，CVTE，网易等企业的研究院（或研究部门）从事计算机视觉，图像处理，模式识别，机器学习等方面的算法研究工作，以及留在本实验室，或是前往香港和国外攻读博士学位。   

目前每年的博士后，博士和硕士招生情况：
博士后：模式识别与智能系统 1-2名
博士生：模式识别与智能系统（学术型）和 电子与信息 （工程型） 1-2名
硕士生：模式识别与智能系统（学术型）和电子与信息（专业型） 4-6名   
联系邮箱：auwxkang@scut.edu.cn

   
近5年的主要论文 （*通讯作者）    
主要期刊论文

2024:
[1]D. Luo, Y. Qiao, S. Zhang, W. Kang*, D. Xie, Palm vein recognition under unconstrained and weak-cooperative conditions, IEEE Transactions on Information Forensics & Security 2024, Accept.

2023:
[2]Y. Ma, Y. Liu, L. Wang, W. Kang, Y. Qiao, Y. Wang, Dual Masked Modeling for Weakly-Supervised Temporal Boundary Discovery, IEEE Transactions on Multimedia 2023 (SCI IF=7.3, JCR Q1) Accept
[3]Y. Ma, H. Huang, D. Luo, S. Zhang, W. Kang*, D. Xie, Focal Contrastive Learning for Palm Vein Authentication, IEEE Transactions on Instrumentation and Measurement 2023 (SCI IF=5.332. JCR Q1)   Accept
[4]H. Xiao, H. Xu, Y. Li*, W. Kang*, Multi-dimensional Graph Interactional Network for Progressive Point Cloud Completion，IEEE Transactions on Instrumentation and Measurement 2023. 7:1-12 (SCI IF=5.332. JCR Q1) 
[5]W. Tang, K. Liu, M. S. Shakeel, H. Wang and W. Kang*, DDAD: Detachable Crowd Density Estimation Assisted Pedestrian Detection. IEEE Transactions on Intelligent Transportation Systems, 2023,24(2): 1867-1878. (SCI IF=9.551, JCR Q1)
[6]W. Tang, M. S. Shakeel, Z. Chen, H. Wan and W. Kang*, Target-Category Agnostic Knowledge Distillation with Frequency Domain Supervision. IEEE Transactions on Industrial Informatics, 2023,19(7):8462-8471.（SCI IF=11.3815 JCR Q1）
[7]J. Huang, A. Zheng, M. S. Shakeel, W. Yang and W. Kang*, FVFSNet: Frequency-Spatial Coupling Network for Finger Vein Authentication. IEEE Transactions on Information Forensics and Security, vol. 2023(18): 1322-1334, (SCI, IF=7.231, JCR Q1) 
[8]L. Wang, H. Xu, W. Kang*. MVContrast: Unsupervised Pretraining for Multi-view 3D Object Recognition. Machine Intelligence Research, 2023, Accept.
[9]H. Xiao, Y. Li*, W. Kang*, Q. Wu.  Distinguishing and Matching-Aware Unsupervised Point Cloud Completion. IEEE Transactions on Circuits and Systems for Video Technology（SCI IF=5.859, JCR Q1), 2023, Accept
[10]肖海鸿, 吴秋遐，李玉琼，康文雄*. 三维补全关键技术研究综述, 光学精密工程, 2023, Accept
[11]F. Lian, J. Huang, J. Liu, G. Chen, J.Zhao, W. Kang*.  FedFV: A Personalized Federated Learning Framework for Finger Vein Authentication. Machine Intelligence Research，2023，Accept
[12]W. Song, W. Kang*. Depthwise Temporal Non-local Network for Faster and Better Dynamic Hand Gesture Authentication. IEEE Transactions on Information Forensics and Security, vol. 2023(18): 1870-1883. (SCI, IF=6.8)
[13]W. Song, W.Kang* and L. Lin. Hand Gesture Authuentication by Discovering Fine-grained Spatiotemporal Identity Characteristics. IEEE Transactions on Circuits and Systems for Video Technology, 2023, Accept (SCI IF=8.4001)
[14]W. Song, W. Kang*, Y. Zhang. Understanding Physiological and Behavioral Characteristics Separately for High-Performance Video-based Hand Gesture Authentication. IEEE Transactions on Instrumentation and Measurement, 26 June 2023, Early Access. (SCI IF=5.6) 
[15]Yang, W., Huang, J., Luo, D., & Kang, W*. (2023). Efficient disentangled representation learning for multi-modal finger biometrics. Pattern Recognition., 145, 109944. (SCI IF=8.00 SCI Q1) 
[16]H. Xiao, Y. Li*, W. Kang*, H. Xu. Text-Free Controllable 3D Point Cloud Generation, IEEE Transactions on Instrumentation and Measurement, 2023, (SCI IF=5.6) 
[17]H. Xiao, H. Xu, W. Kang*, Y. Li. Instance-aware Monocular 3D Semantic Scene Completion, IEEE Transactions on Intelligent Transportation Systems,2023, (SCI IF=8.5) 
[18]Y. Lin, W. Song, W. Kang*, Random hand gesture authentication via efficient Temporal Segment Set Network, Journal of Visual Communication and Image Representation,2023. (SCI IF=2.6)
[19]H. Xie, W. Song,W. Kang*, MSBA-Net: Multi-Scale Behavior Analysis Network for Random Hand Gesture Authentication, IEEE Transactions on Instrumentation and Measurement,2023 (SCI IF=5.6) 

2022:
[20]  H. Xu, W. Yang, Q. Wu*, W. Kang*. Endowing rotation invariance for 3D finger shape and vein verification. Frontiers of Computer Science, 2022,16(5): 165332. (SCI IF=2.669. JCR Q2) （2022影响因子：2.061）
[21]  L. Nie, T. Chen, Z. Wang, Wenxiong Kang, L. Lin. Multi-label image recognition with attentive transformer-localizer module. Multimedia Tools and Applications, 2022, 81(6): 7917-7940. (SCI IF=2.577. JCR Q3)（2022影响因子：2.757）
[22]  Y. Zhang, X. Wang, M. S. Shakeel, H. Wan, Wenxiong Kang*. Learning upper patch attention using dual-branch training strategy for masked face recognition. Pattern Recognition, 2022, 126: 108522. (SCI IF=8.518. JCR Q1) （2022影响因子：7.74）
[23]  J. Huang, W. Luo, W. Yang, A. Zheng, F. Lian, Wenxiong Kang*. FVT: Finger Vein Transformer for Authentication. IEEE Transactions on Instrumentation & Measurement, 2022, 71: 1-13. (SCI IF=5.332. JCR Q1)（2022影响因子：5.332）
[24]  W. Yang, Z. Chen, J. Huang, W. Kang* . A Novel System and Experimental Study for 3D Finger Multi-Biometrics. IEEE Transactions on Biometrics, Behavior, and Identity Science，2022, 4(4): 471-485.
[25]  S. Wenwei, W. Kang*, L. Wang, Z. Lin, M Gan. Video Understanding Based Random Hand Gesture Authentication. IEEE Transactions on Biometrics, Behavior, and Identity Science, 2022, 4(4): 453-470.
2021:
[26]  H. Xu, L. Wang, Q. Wu*, Wenxiong Kang. PVLNet: Parameterized-View-Learning neural network for 3D shape recognition. Computers & Graphics, 2021,98: 71-81. (SCI IF=1.821. JCR Q3)（2021影响因子：1.351）
[27]  W. Jia, W. Xia, B. Zhang, Y. Zhao, L. Fei, W. Kang, D. Huang, G. Guo. A survey on dorsal hand vein biometrics. Pattern Recognition, 2021, 120: 108122. (SCI IF=8.518. JCR Q1)（2021影响因子：7.196）
[28]  C. Liu, Y. Yang, X. Liu, L. Fang, W. Kang*. Dynamic-Hand-Gesture Authentication Dataset and Benchmark. IEEE Transactions on Information Forensics & Security, 2021, 16: 1550-1562. (SCI IF=7.231. JCR Q1）
[29]  Huang, J., Tu, M., Yang, W., & Kang, W*. Joint Attention Network for Finger Vein Authentication. IEEE Transactions on Instrumentation and Measurement, 2021, 70:1-11. 2021. (SCI IF 5.332, JCR Q1)
[30]  J. Xu, H. Tian, Z. Wang, Y. Wang, W. Kang, F. Chen. Joint Input and Output Space Learning for Multi-Label Image Classification. IEEE Transactions on Multimedia, 2021, 23: 1696-1707. (SCI IF=8.182. JCR Q1
2020:
[31]  W. Yang, W. Luo, W. Kang*, Z. Huang and Q. Wu, FVRAS-Net: An Embedded Finger-Vein Recognition and AntiSpoofing System Using a Unified CNN. IEEE Transactions on Instrumentation & Measurement. 2020, 69(11): 8690-8701 (SCI IF=5.332. JCR Q1)
[32]  G. Chen, G. Pan, Y. Zhou, W. Kang*, J. Hou, F. Deng, Correlation Filter Tracking via Distractor-aware Learning and Multi-Anchor Detection, IEEE Transactions on Circuits and Systems for Video Technology. 2020, 30(12): 4810-4822. (SCI IF=5.859，JCR Q1)
[33]  W. Kang*, H. Liu, W. Luo, F. Deng, Study of a Full-View 3D Finger Vein Verification Technique,  IEEE Transactions on Information Forensics and Security, 2020.15(1): 1175-1189. (SCI IF=7.231，JCR Q1) 广东省计算机学会优秀论文一等奖
[34]  L. Fang, N. Liang, W. Kang*, Z. Wang, D. Feng, Real-time hand posture recognition using hand geometric features and Fisher Vector, Signal Processing: Image Communication, 2020.(82):115729. (SCI IF=3.453, JCR Q2)
2019:
[35]  W. Kang*, Y Lu, D Li, W Jia, From Noise to Feature: Exploiting Intensity Distribution as a Novel Soft Biometric Trait for Finger Vein Recognition, IEEE Transactions on Information Forensics & Security, 2019.14(4): 858-869. (SCI IF=7.231，JCR Q1)
[36]  S. Tang, S. Zhou, W. Kang*, Q. Wu, F. Deng, Finger Vein Verification using a Siamese CNN, IET Biometrics, 2019.8(5): 306-315. (SCI IF=2.716，JCR Q3)
[37]  G. Pan, G. Chen, W. Kang*, and J. Hou, Correlation filter tracker with siamese: A robust and real-time object tracking framework, Neurocomputing, 2019.358: 33–43. (SCI IF=5.779，JCR Q2)
2018:
[38]  X. Qiu, W. Kang*, S. Tian, W. Jia and Z. Huang, Finger Vein Presentation Attack Detection Using Total Variation Decomposition, IEEE Transactions on Information Forensics & Security, 2018.13(2): 465-477. (SCI IF=7.231，JCR Q1)
[39]  L. Tang, W. Kang*, Y. Fang, Information Divergence-based Matching Strategy for Online Signature Verification, IEEE Transactions on Information Forensics & Security, 2018.13(4): 861-873. (SCI IF=7.231，JCR Q1)
[40]  N. Liang, G.Wu, W. Kang*, Z. Wang, David D. Feng，Real-Time Long-Term Tracking With Prediction-Detection-Correction, IEEE Transactions on Multimedia, 2018.20(9): 2289-2302. (SCI IF=8.182，JCR Q1)
[41]  L. Fang, G. Wu, W. Kang*, Q. Wu, Z. Wang, David D. Feng，Feature Covariance Matrix based Dynamic Hand Gesture Recognition, Neural Computing and Applications. 2019.31(12): 8533-8546. (SCI IF=5.102，JCR Q2)
[42]  Y. Fang, W. Kang*, Q.Wu, A novel finger vein verification system based on two-stream convolutional network learning, Neurocomputing, 2018.290: 100-107. (SCI IF=5.779，JCR Q2)
[43]  王浩, 康文雄*, 陈晓鹏. 基于视频的掌纹掌脉联合识别系统研究, 光学学报. 2018,38(2):0215004. (EI 核心)，被评为2018年第2期“优秀论文”

主要会议论文

2024:
[1]H.Fu, Z.Wang, K.Gong, K.Wang, T.Chen, H.Li, H.Zeng, W.Kang*. Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI),2024. (CCF A) Accepted
[2]K. Li, L. Yang, Z. Lin, J. Xu, X. Zhan, Y. Zhao, P. Zhu, W. Kang, K. Wu, C. Lu* . FAVOR: Full-body AR-driven Virtual Object Rearrangement Guided by Instruction Text. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024), (CCF A) Accepted
2023：
[3]W. Chen, H. Xu, Z. Zhou, Y. Liu, B. Sun, W. Kang*, X. Xie. CostFormer:Cost Transformer for Cost Aggregation in Multi-view Stereo. The 32nd International Joint Conference on Artificial Intelligence (IJCAI)，2023. (CCF A)
[4]M.Gan, Y.Lin, X.Liu, W.Song, J.Zeng, W. Kang*. Ar3dHands: A Dataset and Baseline for Real-time 3D Hand Pose Estimation from Binocular Distorted Images. The 12th International Conference on Image and Graphics (ICIG), 2023. 
[5]X. Han, H. Wan, W. Tang, W. Kang*. Airport Boarding Bridge Pedestrian Detection Based on Spatial Attention and Joint Crowd Density Estimation. The 3rd CAAI International Conference on Artificial Intelligence (CICAI), 2023. (CCF C)
[6]X. Zhang, M. Wang, M. Zeng, W. Kang*, F. Deng. HuMoMM: A Multi-Modal Dataset and Benchmark for Human Motion Analysis. The 12th International Conference on Image and Graphics (ICIG), 2023.  
[7]H. Xu, W. Chen, Z. Zhou, Y. Liu, B. Sun, W. Kang*, X. Xie. SemiMVS: Semi-supervised Deep Multi-view Stereo. The 31st ACM International Conference on Multimedia (ACM MM), 2023. (CCF A)
[8]Z. Chen, H. Xu, W. Chen, Z. Zhou, B. Sun, X. Xie, W. Kang*. Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering. Internatial Conference on Computer Vision (ICCV), 2023. (CCF A)
[9]Q. Kang, W. Tang, Z. Liu, W.Kang* , LF-LVS: Label-Free Left Ventricular Segmentation for Transthoracic Echocardiogram, Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2022:626-638. (CCF C)
[10]W. Wu, L. Kun, M. Saad, X. Liao, M. Zeng, W. Kang*. A Highly Precise and Lightweight Detection Model for Water and Oil Leakage Detection. International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC), 2023. 
[11]J. Ran , H. Wan, W. Tang, W. Kang*. A Deep Learning-based Flight Turnaround Record System. International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC), 2023.

2022:
[12]  A. Deng, S. Wang*, W. Kang, F. Deng. On the Importance of Different Frequency Bins for Speaker Verification. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022: 7537-7541. (CCF B)
[13]  W. Yang, J. Huang, Z. Chen, J. Zhao, W. Kang*. Multi-view Finger Vein Recognition Using Attention-Based MVCNN. Chinese Conference on Biometric Recognition (CCBR), 2022: 82-91.
[14]  H. Fu, W. Kang*, Y. Zhang, S.S. Muhammad. Fusion of Gait and Face for Human Identification at the Feature Level. Chinese Conference on Biometric Recognition (CCBR), 2022: 475–483. 最佳张贴论文
[15]  H. Xie, W. Song, W. Kang*. Efficient Video Understanding-Based Random Hand Gesture Authentication. Chinese Conference on Biometric Recognition (CCBR), 2022: 247-256.
[16]  W. Song, L. Fang, Y. Lin, M. Zeng, W. Kang*. Dynamic Hand Gesture Authentication Based on Improved Two-Stream CNN. Chinese Conference on Biometric Recognition (CCBR), 2022：237–246.
[17]  Y. Zhou, J. Chen, X. Zhang, W. Kang*, Z Ming, Semantic Center Guided Windows Attention Fusion Framework for Food Recognition, Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2022:626-638. (CCF C)

2021:
[18]  H. Xu, Z. Zhou, Y. Qiao*, W. Kang, Q. Wu, Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation, Association for the Advancement of Artificial Intelligence (AAAI), 2021:3030--3038. (CCF A) Distinguished paper (杰出论文奖)
[19]  W. Li, Mahpirat, W. Kang, A. Aysa, K. Ubul*. Multi-lingual Hybrid Handwritten Signature Recognition Based on Deep Residual Attention Network. Chinese Conference on Biometric Recognition (CCBR), 2021: 148-156.
[20]  W. Xu, X. Wang, H. Wan, X. Guo, J. Zhao*, F. Deng, W. Kang. Jointing Multi-task Learning and Gradient Reversal Layer for Far-Field Speaker Verification. Chinese Conference on Biometric Recognition (CCBR), 2021: 449-457.
[21]  W. Song, W. Kang*, Y. Yang, L. Fang, C. Liu, and X. Liu, TDS-Net: Towards Fast Dynamic Random Hand Gesture Authentication via Temporal Difference Symbiotic Neural Network, IEEE International Joint Conference on Biometrics (IJCB), 2021: 1-8. (CCF -C)Best paper (最佳论文奖)
[22]  W. Yang, Z. Chen, J. Huang, L. Wang and W. Kang*, LFMB-3DFB: A Large-scale Finger Multi-Biometric Database and Benchmark for 3D Finger Biometrics, IEEE International Joint Conference on Biometrics (IJCB), 2021: 1-8. (CCF -C)Best paper (最佳论文奖)
[23]  C. Luo, X. Guo, A. Deng, W. Xu, J. Zhao, W. Kang*, Learning Discriminative Speaker Embedding by Improving Aggregation Strategy and Loss Function for Speaker Verification, IEEE International Joint Conference on Biometrics (IJCB), 2021: 1-8. (CCF -C)
[24]  H. Xu, Z. Zhou, Y. Wang, W. Kang, B. Sun, H. Li, Y. Qiao*, Digging into Uncertainty in Self-supervised Multi-view Stereo, IEEE International Conference on Computer Vision (ICCV), 2021: 6078-6087. (CCF A)

2020:
[25]  L. Fang, X. Liu, L. Liu, H. Xu, W. Kang*, JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image, European Conference on Computer Vision (ECCV), 2020: 120-137. (CCF B) Accept as spotlight (亮点报告 Top 5% of submissions)
[26]  Z. Su, L. Fang, W. Kang, D. Hu, M. Pietikäinen, L. Liu*, Dynamic Group Convolution for Accelerating Convolutional Neural Networks, European Conference on Computer Vision (ECCV), 2020: 138-155. (CCF B) Accept as spotlight (亮点报告 Top 5% of submissions)
[27]  N. Liang, W. Xu, C. Luo and W. Kang*, Learning the Front-end Speech Feature with Raw Waveform for End-to-end Speaker Recognition, International Conference on Computing and Artificial Intelligence (ICCAI), 2020: 317-322.
[28]  H. Xu, L. Fang, X. Liang*, W. Kang, Z. Li, Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN, Association for the Advancement of Artificial Intelligence (AAAI), 2020.34(7): 12492-12499. (CCF A)

2019:
[29]  Y. Lu, M. Tu, H. Wang, J. Zhao, and W. Kang*, Finger Vein Recognition Based on Double-Orientation Coding Histogram, Chinese Conference on Biometric Recognition (CCBR), 2019: 20–27.
[30]  C. Liu, W. Kang*, L. Fang, and N. Liang, Authentication System Design Based on Dynamic Hand Gesture, Chinese Conference on Biometric Recognition (CCBR), 2019: 94–103.

2018:
[31]  H. Hu, W. Kang*, T. Lu, H. Liu, Y. Fang, J. Zhao, F. Deng, FV-Net: learning a finger-vein like feature representation based on a CNN, International Conference on Pattern Recognition (ICPR), 2018: 3489-3494. (CCF C)
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