一. 个人基本信息
出生日期：1971年12月
出生地点：河南淮阳
性 别：男
民 族：汉
工作单位：中国民航大学
通信地址：天津市中国民航大学北院9号信箱
邮政编码：300300
电 话：**(办)
电子邮箱：jfyang@cauc.edu.cn, jfyang@vip.163.com
二.学习和工作经历简介
●1990.9-1994.7: 郑州轻工业学院，获工学学士学位；
●1994.7-1998.7: 郑州轻工业学院任教；
●1998.9-2001.7: 郑州大学，获工学硕士学位；
●2001.9-2005.5: 中科院自动化研究所，模式识别国家重点实验室，师从谭铁牛院士，获工学博士学位；
●2005.6-至今: 中国民航大学工作，2007年10月晋升副教授，2012年10月晋升教授，2013年被评为中国民航大学第二层次领军人物。
三. 学术兼职
●国际期刊《International Journal of Intelligent Information Processing》编委；
●国际期刊《International Journal of Communications and Information Sciences》编委；
●IEEE会员；
●中国计算机学会-计算机视觉专业组 (CCF-TFCV) 委员；
●国家自然科学基金、浙江自然科学基金评审专家；
●担任26、27、28届国际计算机视觉与模式识别顶级会议IEEE Conference on Computer Vision and Pattern Recognition（CVPR）程序委员会委员；
●担任12、13届欧洲顶级会议European Conference on Computer Vision (ECCV)程序委员会委员；
●担任6、7、8、9届中国生物特征识别会议（Chinese Conference on Biometric Recognition-CCBR）学术委员会委员；
●担任第9届 International Conference on Communications and Networking in China （Chinacom）程序委员会委员；
●担任第6届International Conference on Digital Image Processing(ICDIP)荣誉主席；
●担任第1届国际手部生物特征识别会议（International Conference on Hand-based Biometrics-ICHB)程序委员会委员。
四. 主要研究方向和科研业绩
主要研究方向包括：
● 数字图像处理；
● 生物特征识别；
● 民航智能安全防卫技术；
● 智能视频监控技术
在2006年参与创立了中国民航大学-中科院自动化研究所“民航安全智能监控与识别联合实验室”，并长期负责本实验室的建设和科学研究工作。在科学研究方面，近几年来，共主持承担了8项科研研究项目，其中省部级以上有7项。坚持以基础科学研究为主要目标，在国内开辟并确立了一个新的学术研究领域--手指静脉识别，并连续三次得到了国家自然科学基金的支持，是国内唯一在此方向上获得连续资助的人员。在此项科学研究中，理清了手指静脉识别中的基本问题，创立了手指静脉图像定向复原与增强理论和高精度图像分割模型；创立了生物特征粒化融合识别新的理论框架，并把这项研究推向了国际前沿。基于上述理论，建立了多个物理模型和科学实验系统，为我校在此领域向纵深方向发展奠定了十分良好的基础。
针对机场人员的身份认证问题，建立了一套完整的适合民航实际问题的多模态生物特征身份认证系统，并得到了民航局科技基金和安全能力建设资金的连续资助。在此基础上，申报的中国民航大学“智能安保技术实验室”经过两轮严格评审，获得了专家认可并批准立项，为我校在智能识别技术方向的发展又一次奠定了良好基础。
近几年来，在国内外重要学术期刊和会议上，发表学术论文60篇，其中SCI期刊论文6篇，EI检索论文45篇，中文核心期刊一篇。受邀为两本国际学术英文专著撰写了独立章节。申请国家发明专利3项。
近期主要科研项目：
[1]主持国家自然科学基金项目“手指多模态生物特征粒化识别理论问题研究”（**）资助期：2014.1-2017.12.
[2]主持民航局科技项目“民航安保智能信息分析技术的应用研究”，（**）资助期：2013.8-2015.8.
[3]主持完成国家自然科学基金项目“手指静脉识别基本理论研究”（**），资助期为：2007.01-2009.12。
[4]主持完成国家自然科学基金项目“多光谱手指静脉图像复原与增强基本理论问题研究”（**），资助期为：2011.1-2013.12.
[5]主持完成天津市科技支撑重大项目“天津滨海国际机场智能监控与识别示范工程”（07ZCKFGX03700），资助期为：2007.09-2009.4。
[6]主持完成天津市自然科学基金项目“基于手指静脉识别的身份鉴别方法研究”（07JCYBJC13500），资助期为：2007.4-2009.9。
[7]作为子项目负责人，主持完成国家“863”项目“面向自助通关应用的生物特征识别系统研究”（2006AA01Z193）的子课题，资助期为：2007.4-2009.9。
[8]主持完成民航局科技项目“基于多模态生物特征识别的安检登机系统应用研究” （MHRD200910），资助期：2009.8-2010.12。
五．近3年专利：
●杨金锋，李承尚，手指多模态生物特征偏振成像系统（**0.8）；
●杨金锋，曹迪，李承尚，一种手指静脉网络精确提取方法（**6.0）；
●杨金锋，曹迪，李承尚，一种手指静脉网络特征提取与匹配方法（**6.5）。
六．专著目录：
[1] Jinfeng Yang, Yihua Shi and Jucheng Yang. “Finger-vein Image Restoration Based on a Biological Optical Model”, New Trends and Developments in Biometrics, Jucheng Yang(Ed.), ISBN: ISBN 980-953-307-576-6, pp.59-76, 2012.
[2] Jinfeng Yang, Yihua Shi and Renbiao Wu. “Finger-Vein Recognition Based on Gabor Features”, Biometric Systems, Design and Applications, Zahid Riaz (Ed.), ISBN: 978-953-307-542-6, pp.17-32, 2011.
期刊论文：
[3] Jinfeng Yang and Yihua Shi, “Towards Finger-vein Image Restoration and Enhancement for Finger-vein Recognition”, Information Science, 268:33–52, 2014.
[4] Jinfeng Yang, Ben Zhang and Yihua Shi, “Scattering Removal for Finger-vein Image Restoration”, Sensors, 12(3): 3627–3640, 2012.
[5] Jinfeng Yang and Xu Zhang, “Feature-level Fusion of Fingerprint and Finger-vein for Personal Identification”, Pattern Recognition Letters, Vol. 33, Issue 5, pp.623-628, 2012.
[6] Jinfeng Yang and Yihua Shi, “Finger-vein ROI Localization and Vein Ridge Enhancement”, Pattern Recognition Letters, Vol. 33, Issue 12, pp.1569-1579, 2012.
[7] Jinfeng Yang and Yihua Shi, “Finger-vein Network Enhancement and Segmentation”, Pattern Analysis and Applications, Published online, 2013.
[8] Jinfeng Yang, Jinli Yang and Yihua Shi, “Personal Identification Based on Finger-Vein Features”, Computers in Human Behavior, Vol. 27, Issue 5, pp.1565-1570, 2011.
[9] 杨金锋，张海金，“手指静脉图像的感兴趣区域提取方法研究”，山东大学学报, Vol.42, No.3, pp.6-12, 2012.
[10]杨金锋，刘源山，“多光谱手指静脉成像与采集系统设计”，中国民航大学学报，30(2):24-29, 2012.
[11]杨金锋，吕恩春，“多光谱手指静脉采集系统的优化设计”，中国民航大学学报，31(2):71-74, 2013.
[12]杨金锋，傅周宇，谭铁牛，胡卫明.“一种新型的基于内容的图像识别与过滤方法”. 通信学报，25(7):793-106，2004.
[13]杨金锋，杨国庆，吴仁彪. “减少光照影响的自适应Gamma矫正方法”. 信号处理，V21(<?XML:NAMESPACE PREFIX = "ST1" />
[14]杨金锋，师一华，熊兴隆. “光照处理中改进的Gamma矫正方法”. 中国民航学院学报，24(4):39-42，2006.
会议论文
[15]Di Cao, Jinfeng Yang, Yihua Shi and Chenghua Xu, “Structure Feature Extraction for Finger-vein Recognition”, The second Asian Conference on Pattern Recognition, pp.567-571,2013.
[16]Dun Tan, Jinfeng Yang, Yihua Shi and Chenghua Xu, “A Hierarchal Framework for Finger-vein Image Classification”, The second Asian Conference on Pattern Recognition, pp.833-837, 2013.
[17]Dun Tan, Jinfeng Yang, Yihua Shi and Chenghua Xu, “Categorizing Finger-vein Images Using a Hierarchal Approach” The 8th Chinese Conference on Biometric Recognition, pp.298-305, 2013.
[18]Shan Zhou, Jun Li, Junliang Xing, Weiming Hu, Jinfeng Yang, “Non-negative Sparse Coding using Independent Multi-codebooks for Near-duplicate Image Detection”, International Conference on Intelligence Science and Big Data Engineering , pp.152-159, 2013.
[19]Guoqi Liu, Bing Li, Weiming Hu, Jinfeng Yang, “Horror Text Recognition based on Generalized Expectation Criteria”, International Conference on Intelligence Science and Big Data Engineering , pp.163-142, 2013.
[20]Ruijuan Hu, Bing Li, Weiming Hu, and Jinfeng Yang, “Spatio-temporal Features for Efficient Video Copy Detection”, International Conference on Intelligence Science and Big Data Engineering (IScIDE), Volume 8261, pp 120-127, 2013.
[21]Shuai Hao, Ou Wu, Weiming Hu, and Jinfeng Yang, “Multi-Modal Multiple-Instance Learning and Attribute Discovery with the Application to the Web Violent Video Detection”, International Conference on Intelligence Science and Big Data Engineering (IScIDE), Volume 8261, pp 449-456, 2013.
[22]Xingyu Zou, Ou Wu, Qishen Wang, Weiming Hu, Jinfeng Yang, “Multi-modal Based Violent Movies Detection in Video Sharing Sites”, International Conference on Intelligence Science and Big Data Engineering, pp.347-355, 2012.
[23]Xuan Li, Bing Li, Weiming Hu, Jinfeng Yang, “An Efficient Video Copy Detection Method Combining Vocabulary Tree and Inverted File”, International Conference on Intelligence Science and Big Data Engineering, pp.613-621, 2012.
[24]Jinfeng Yang, Meijing Wu, Wanyin Wang and Yihua Shi, “Finger-vein Matching Based on Adaptive Vector Field Estimation”, IEEE International Conference on Image Processing, pp.145-148, 2012.
[25]Jinfeng Yang and Guangliang Bai, “Finger-vein Image Restoration Based on Skin Optical Property”, IEEE International Conference on Signal Processing, pp.749-752, 2012.
[26]Jinfeng Yang and Yongshuang Jia, “A Method of Multispectral Finger-Vein Image Fusion”, IEEE International Conference on Signal Processing, pp.753-756, 2012.
[27]Yihua Shi and Jinfeng Yang, “Image Restoration and Enhancement for Finger-vein Recognition”, IEEE International Conference on Signal Processing, pp.1605-1608, 2012.
[28]Lin Qi, Jinfeng Yang, Yuchun Wen, Pengfei Ma, Chenghua Xu and Hui Hao, “Multi-Feature Model Analysis-Based Target Identification for Remote Sensing Image”, IEEE International Conference on Signal Processing, 2012.
[29]Jinfeng Yang and Ben Zhang, “Scattering Removal for Finger-vein Image Enhancement”, IEEE International Conference on Hand-based Biometrics, pp.193-197, 2011.
[30]Jinfeng Yang and Junjie Wang, “Finger-vein Image Restoration Considering Skin Layer Structure”, IEEE International Conference on Hand-based Biometrics, pp.188-192, 2011.
[31]Jinfeng Yang and Wanyin Wang, “Finger-vein Image Enhancement Based on Orientation Field”, IEEE International Conference on Hand-based Biometrics, pp.198-203, 2011.
[32]Guowen Ma and Jinfeng Yang, “Shadow Removal Using Retinex Theory”, 3rd Chinese Conference on Intelligent Visual Surveillance, pp.25-28, 2011.
[33]Yinjuan Wang, Nianhua Xie, Weiming Hu and Jinfeng Yang, “Multi-Modal Multiple-Instance Learning with the Application to the Cannabis Webpage Recognition”, Asian Conference on Pattern Recognition, pp.105-109, 2011.
[34]Qishen Wang, Ou Wu, Weiming Hu, Jinfeng Yang and Wanqing Li, “Ranking Social Emotions by Learning Listwise Preference”, Asian Conference on Pattern Recognition, pp.164-168, 2011.
[35]Mingxia Sun, Kunfeng Wang, Ming Tang, Fei-Yue Wang and Jinfeng Yang, “Video Vehicle Detection through Multiple Background-Based Features and Statistical Learning”，IEEE 14th International IEEE Conference on Intelligent Transportation Systems, pp.1337-1342, 2011.
[36]Jinfeng Yang and Xu Li, “A Novel Method for Finger-Vein Image Restoration, Enhancement and Segmentation”, Asian Conf. Computer Vision, pp.2125-2136, 2010.
[37]Jinfeng Yang and Xu Li, “Efficient Finger Vein Localization and Recognition”, International Conference on Pattern Recognition, pp.1148-1151, 2010.
[38]Jinfeng Yang and Xu Zhang, “Feature-level Fusion of Global and Local Features for Finger-vein Recognition”, International Conf. on Signal Processing, pp.1702-1705, 2010.
[39]Jinfeng Yang and Minfu Yan, “An Improved Method for Finger-vein Image Enhancement”, International Conference on Signal Processing, pp.1706-1709, 2010.
[40]Jinfeng Yang, Yihua Shi, Jinli Yang, Lihui Jiang. “A Novel Finger-vein Recognition Method with Feature Combination”, Internal Conference on Image Processing, pp.2709-2712, 2009.
[41]Jinfeng Yang, Yihua Shi, Jinli Yang, “Finger-vein Recognition Based on a Bank of Gabor Filters”. Asian Conf. Computer Vision, pp.374-383, 2009.
[42]Jinfeng Yang, Jinli Yang, Yihua Shi, “Finger-Vein Segmentation Based on Multi-channel Even-symmetric Gabor Filters”. International Conference on Intelligent Computing and Intelligent Systems, pp.500-503, 2009.
[43]Jinfeng Yang, Jinli Yang, “Multi-Channel Gabor Filter Design for Finger-vein Image Enhancement”. International Conference on Image and Graphics, pp.367-370, 2009.
[44]Jinfeng Yang, Jinli Yang, Yihua Shi, “Combination of Gabor Wavelets and Circular Gabor Filter for Finger-Vein Extraction”. International Conference on Intelligent Computing, pp.346-354, 2009.
[45]Jing Zhang, Jinfeng Yang, “Finger-Vein Image Enhancement Based on Combination of Gray-Level Grouping and Circular Gabor Filter”. Int’l Conf. Information Engineering and Computer Science, pp.200-203, 2009.
[46]Jinfeng Yang, Yihua Shi and Mingliang Xiao, “Geometric Feature-Based Skin Image Classification”, Advanced Intelligent Computing Theories and Applications, pp. 1158-1169, 2007.
[47]Jinfeng Yang, Renbiao Wu, Ruihui Zhu and Yanjun Li, “Contour construction based on adaptive grids”. Advances in Natural Computation, Part 2, Vol. 4222, pp. 668-678, 2006.
[48]Jinfeng Yang and Renbiao Wu, “Active Contour Construction for Face Regions”. 18th International Conference on Pattern Recognition, pp.363-366, 2006.
[49]Jinfeng Yang, Renbiao Wu, Yanjun Li and Ruihui Zhu. “Fast Contour Construction for Skin Regions”. 8th International Conference on Signal Processing, pp.1031-1034, 2006.
[50]Jinfeng Yang, Tieniu Tan and Weiming Hu, “Face Contour Construction with Multiple Information”. 6th IEEE International Conference on Automatic face and Gesture Recognition, pp.451-456, 2004.
[51]Jinfeng Yang, Zhouyu Fu, Tieniu Tan and Weiming Hu, “Adaptive Skin Detection Using Multiple Cues”. IEEE International Conference on Image Processing, pp.901-904, 2004.
[52]Jinfeng Yang, Zhouyu Fu, Tieniu Tan and Weiming Hu, “A Novel Approach to Detecting Adult Images”. 17th International Conference on Pattern Recognition, Vol.4, pp.479-482, 2004.
[53]Jinfeng Yang, Zhouyu Fu, Tieniu Tan and Weiming Hu, “Skin Color Detection Using Multiple Cues”. 17th International Conference on Pattern Recognition, Vol.1, pp.632-635, 2004.
[54]Xiaohui Ren, Jinfeng Yang, Henghui Li and Renbiao Wu. “Multi-Fingerprint Information Fusion for Personal Identification Based on Improved Dempster-Shafer Evidence Theory”. IEEE International Conference on Electronic and Computer Technology, pp.281-285, 2009.
[55]Zhouyu Fu, Jinfeng Yang, Weiming Hu and Tieniu Tan. “Mixture Clustering Using Multidimensional Histograms for Skin Detection”. 17th International Conference on Pattern Recognition, Vol.4, pp549-552, 2004.
[56]Yihua Shi, Jinfeng Yang and Renbiao Wu. “Reducing Illumination Based on Nonlinear Gamma Correction”. International Conference on Image Processing, Vol.1, pp. 529-532, 2007.
[57]Yihua Shi, Mingliang Xiao and Jinfeng Yang. “Pixel-Based Skin Color Detection Considering Overlap Region”. International Symposium on Intelligent Signal Processing and Communications Systems, pp.256-259, 2007.
[58]Yanjun, Li, Jinfeng Yang, Renbiao Wu and Fengxun Gong. “Efficient Object Tracking Based on Local Invariant Features”. International Symposium on Communications and Information Technologies, pp.697-700, 2006.
[59]Ruihui Zhu, Jinfeng Yang and Renbiao Wu. “Iris Recognition Based on Local Feature Point Matching”. International Symposium on Communications and Information Technologies, pp.451-454, 2006.
[60]Henghui Li, Jinfeng Yang and Renbiao Wu. “An Improved Mixture-of- Gaussians Model for Background Subtraction”. 9th International Conference on Signal Processing, pp.1380-1383, 2008.
