西安电子科技大学生命科学技术学院导师教师师资介绍简介-曹志诚

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基本信息
姓名：曹志诚
学历：博士
学科：生物医学工程
研究方向：人工智能

联系方式
通信地址：陕西省西安市西沣路兴隆段266号
西安电子科技大学南校区
0528号信箱
710126
电子邮箱：zccao at xidian.edu.cn
办公电话：
办公地点：西安电子科技大学南校区G楼

个人简介
曹志诚，博士。本科和硕士毕业于西安交通大学医学电子系，博士毕业于美国西弗尼吉亚大学(West Virginia University)电子信息工程和计算机系。曾任Uhnder, Inc.(美国)公司无人驾驶高分辨率雷达成像高级算法工程师。研究兴趣包括生物特征识别、模式识别和机器学习、图像处理和计算机视觉、医学电子仪器、人工智能等。承担或参与中国自然基金项目、863项目、美国自然基金（US NSF）、美国国防部（US DoS）、美国航天航空局（NASA）等多项课题，在人脸识别、部分人脸和眼周识别、跨频谱生物特征识别等领域做出了诸多贡献，发表SCI/EI等论文20余篇，申请多项人脸和指纹相关专利。目前为IEEE、SPIE等国际学会会员，并担任多个国际学术期刊的审稿人，如Pattern Recognition,Neurocomputing, Machine Vision and Applications,IET Biometrics等。

主要研究方向
1．生物特征识别
2．模式识别与机器学习
3．图像处理与计算机视觉
4．人工智能

科学研究
研究概况

多光谱与红外线人脸识别

移动端与PC段之人脸识别软件开发

基于人脸识别的小区门禁与监控系统

学术论文
Journal
•Cao Z, Cen X, Zhao H, Pang L. Balancing Heterogeneous Image Quality for Improved Cross-Spectral Face Recognition.Sensors. 2021; 21(7):2322. (SCI).https://doi.org/10.3390/s**
• Yuxing Li, Heng Zhao, Zhicheng Cao, Eryun Liu, Liaojun Pang.Ordered and fixed-length bit-string fingerprint representation with minutia vicinity combined feature and spectral clustering. IET Image Processing,14(12), 2020. (SCI)https://doi.org/10.1049/iet-ipr.2020.1025
•Zhicheng Cao, Xi Cen, Liaojun Pang, HyperFaceNet: A Hyperspectral Face Recognition Method Based on Deep Fusion. arXiv:2008.00498, 2020.https://arxiv.org/abs/2008.00498
•Chen, J.; Zhao, H.; Cao, Z.; Guo, F.; Pang, L. A Customized Semantic Segmentation Network for the Fingerprint Singular Point Detection. Applied Sciences, 2020,10, 3868 (SCI).https://doi.org/10.3390/app**
•Jiong Chen and Heng Zhao and Zhicheng Cao and Liaojun Pang, "Singular points detection with semantic segmentation networks", arXiv:1911.01106, 2019.
• MinJiang, Bingyi Cui, Yu-Feng Yu,Zhicheng Cao*, "DM-free curvelet based denoising for astronomical single pulse detection", IEEE Access, vol 7, pp107389-108399, 2019(SCI).https://ieeexplore.ieee.org/document/**/
• W. Zhao, L. Pang, K. Xiao, H. Wang,Z. Caoand H. Zhao, “Palmprint recognition using a modified competitive code with distinctive extended neighborhood,” IET Computer Vision, 12(8), pp.1151-1162,2018 (SCI).
• J. Chen, H. Zhao,Z. Cao, W. Zhao and L. Pang, “Successive minutia-free mosaicking for small-sized fingerprint recognition,” IET Image Processing, 13(7),pp1146-1151,2018 (SCI).
•Z. Cao, N. A. Schmid and T. Bourlai, “Composite Multi-Lobe Descriptors for Cross-Spectral Recognition of Full and Partial Face,”Optical Engineering,55(8), 083107 (2016) (SCI).
•M. Jiang, B. Cui, N. A. Schmid, M. A. McLaughlin andZ. Cao, “Wavelet Denoising of Radio observations of Rotating Radio Transients (RRATs): Improved Timing Parameters for Eight RRATs”,The Astrophysical Journal,847(1), pp75(2017) (SCI).
•Z. CaoandN. A. Schmid, “Fusion of Operators for Heterogeneous Periocular Recognition,”Pattern Recognition Letters,80p2, pp170-180 (2016) (SCI).
•Z. CaoandN. A. Schmid, “Recognition Performance of Cross-SpectralPeriocularBiometrics and Partial Face at Short and Long Standoff Distance,”Open Transactions on Information Processing,1(2), 20–32, 2014.
Conference
•Z. Cao, Y. Zhao, H. Zhao，W. Zhao, X. Xu and L. Pang, “Nighttime periocular recognition at long standoffs with deep learned features,” in Proc. SPIE Defense and Commercial Sensing , 2019, (EI).
•Z. Cao, Y. Zhao, H. Zhao, X. Xu and L. Pang, “Cross-Spectral Face Recognition with Image Quality Disparity Using Image Fusion,” in Proc. SPIE Defense and Commercial Sensing , 2019, (EI).
• L. Guo, H. Zhang, H. Zhai, C. Gong, B. Song, S. Tong, Z. Cao, X. Xu, "Research on image processing and intelligent recognition of space debris," in Proc. SPIE Defense and Commercial Sensing, pp. ** , 2019, (EI).
•Z. CaoandN. A. Schmid, “Matching HeterogeneousPeriocularRegions: Short and Long Standoff Distances,” inProc. of the IEEE International Conference on Image Processing (ICIP), pp. 4967–4971, 2014(EI).
•Z. CaoandN. A. Schmid, “Heterogeneous Sharpness for Cross-Spectral Face Recognition,” inProc. SPIE 10202, Automatic Target Recognition XXVII,pp. 102020Q,2017 (EI, invited).
•Z. Cao, N. A. Schmid and X. Li, “Image disparity in cross-spectral face recognition: Mitigating camera and atmospheric effects”, inProc., Automatic Target Recognition XXVI,2016(EI, invited).
•Z. CaoandN. A. Schmid,“Composite Multi-Lobe Descriptor for Cross-Spectral Face Recognition:Matching Active IR to Visible Light Images”, inProc. SPIE 9476, Automatic Target Recognition XXV,pp. 94760T,2015(EI, invited).
•M. Alkhweldi,Z. CaoandN. A. Schmid, “Distributed Estimation of Parametric Field in Presence of Uncertainty in Sensors Locations,” inProc. SPIE 9476, Automatic Target Recognition XXV,pp. 94760R,2015(EI).
Magzine
•Z. CaoandN. A. Schmid,“Novel Composite Operator for Cross-Spectral Face Recognition”,SPIE Newsroom Magazine,April 2015 (ISSN 1818-2259).
Book and Book Chapter
•Z. Cao,N. A. Schmid and T. Bourlai,“Local Operators and Measures for Heterogeneous Face Recognition”,Face Recognition across the Electromagnetic Spectrum, Springer, 2016 (ISBN 978-3-319-28499-6).

当前研究课题：
1. 基于短波红外线的恶劣环境下跨光谱人脸识别，国家自然基金项目，2020，主持
2. 基于多光谱的人脸识别和活体检测一体化研究, 中国计算机协会-互联网金融联盟联合基金，2018，主持
3. 跨频谱人脸识别与异源图像质量研究，中央高校基金，2018，主持
4. 智能猫眼门控系统的研发，企业项目，2018，主持
5.面向跨终端的交叉库与小面积指纹识别及身份认证系统研究，国家自然基金，2019，第二参与人
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过往课题：
1. Biometrics meets Forensics: Automated Approach to Biometric Data Analysis and Matching, West Virginia University
2. Partial Face Matching across the IR Band, NSF
3. SSCO TechnologyforRoboticServicing and OrbitalSpace Assets, NASA
4. Denoising and Detection of Rotating Radio Transients Pulsar Signals, NASA
5. National Center for the Robotic Servicing of Orbital Space Assets, NASA
6. Intelligent Camera Networks for the Recognition of Human Activities in Urban Environments, DoD
7. Cross-Spectral Facial Recognition Algorithm Development: SWIR against Visible Light Images, EOIR Technologies, Inc.
8. National Center for the Robotic Servicing of Orbital Space Assets, NASA

科研团队
团队教师

博士研究生
硕士研究生

课程教学
目前本人承担的教学任务：
《线性代数》
《生物特征识别与加密导论》
《现代电子测量》
《高级生物特征识别》(研究生)
《图形图像处理与现代模式识别》(研究生)

招生要求
招生信息简介：
欢迎对人脸和指纹识别加密、模式识别、机器学习、信息安全、人工智能等领域感兴趣的同学报考我们课题组（西安电子科技大学生物特征识别与加密实验室）。
联系老师：曹老师， zccao@xidian.edu.cn
赵老师，zhaoheng@life.xidian.edu.cn
庞老师，ljpang@mail.xidian.edu.cn
实验室网站：http://site-453872-9299-8692.sxl.cn/
招生要求：
具有高度自我驱动力, 热爱科研且吃苦耐劳
具备良好数学基础
具备良好编程能力，熟练C/C++/MATLAB/Python至少一种语言
有图像处理、模式识别、机器学习、信号处理等相关领域基础知识
招生专业：生物医学工程、通信工程
研究方向：人脸/指纹识别、生物特征加密、信息安全
招生类型：学术/工程/联陪硕士研究生、博士研究生
招生人数：硕士4 ~8人/年，博士1~2人/年

Profile
Name: Zhicheng Cao, PhD
Title: Assistant Professor
Department: Biomedical Engineering Dept.

Contact Information
Address: Xifeng Road #266, Xian, Shaanxi, China 710071
Email: zzcao at xidian.edu.cn
Tel:（86）

Introduction
Dr. Zhicheng Cao is an Assistant Professor at the Deptartmentof Biomedical Engineering, Xidian University, China. He holds a Ph.D. in Electrical Engineeringfrom West Virginia University (USA). He received hisBS and MS both fromXi’an Jiaotong University, China. His current research interestsinclude biometrics, machine learning & pattern recognition, computervision and image processing with focus onmulti-/cross-spectralface and periocular recognition. He is the PI/co-investigator of several China NSF, China 863, US NSF, US DoD, US NASA funded projects. He has published more than20 indexed papers and applied several patents in related area.He is a member of IEEE and SPIE. He serves as a reviewer of several international academic journals, such as Pattern Recognition,Neurocomputing, Machine Vision and Applications, IET Biometrics, etc.

Research Interests
1．Biometrics
2. Pattern Recognition and Machine Learning
3．Computer Vision
4．Image Processing

Research
研究概况

多光谱与红外线人脸识别

移动端与PC段之人脸识别软件开发

基于人脸识别的小区门禁与监控系统

Papers
Journal
•Cao Z, Cen X, Zhao H, Pang L. Balancing Heterogeneous Image Quality for Improved Cross-Spectral Face Recognition.Sensors. 2021; 21(7):2322. (SCI).https://doi.org/10.3390/s**
• Yuxing Li, Heng Zhao, Zhicheng Cao, Eryun Liu, Liaojun Pang.Ordered and fixed-length bit-string fingerprint representation with minutia vicinity combined feature and spectral clustering. IET Image Processing,14(12), 2020. (SCI)https://doi.org/10.1049/iet-ipr.2020.1025
•Zhicheng Cao, Xi Cen, Liaojun Pang, HyperFaceNet: A Hyperspectral Face Recognition Method Based on Deep Fusion. arXiv:2008.00498, 2020.https://arxiv.org/abs/2008.00498
•Chen, J.; Zhao, H.; Cao, Z.; Guo, F.; Pang, L. A Customized Semantic Segmentation Network for the Fingerprint Singular Point Detection. Applied Sciences, 2020,10, 3868 (SCI).https://doi.org/10.3390/app**
•Jiong Chen and Heng Zhao and Zhicheng Cao and Liaojun Pang, "Singular points detection with semantic segmentation networks", arXiv:1911.01106, 2019.
• MinJiang, Bingyi Cui, Yu-Feng Yu,Zhicheng Cao*, "DM-free curvelet based denoising for astronomical single pulse detection", IEEE Access, vol 7, pp107389-108399, 2019(SCI).https://ieeexplore.ieee.org/document/**/
• W. Zhao, L. Pang, K. Xiao, H. Wang,Z. Caoand H. Zhao, “Palmprint recognition using a modified competitive code with distinctive extended neighborhood,” IET Computer Vision, 12(8), pp.1151-1162,2018 (SCI).
• J. Chen, H. Zhao,Z. Cao, W. Zhao and L. Pang, “Successive minutia-free mosaicking for small-sized fingerprint recognition,” IET Image Processing, 13(7),pp1146-1151,2018 (SCI).
•Z. Cao, N. A. Schmid and T. Bourlai, “Composite Multi-Lobe Descriptors for Cross-Spectral Recognition of Full and Partial Face,”Optical Engineering,55(8), 083107 (2016) (SCI).
•M. Jiang, B. Cui, N. A. Schmid, M. A. McLaughlin andZ. Cao, “Wavelet Denoising of Radio observations of Rotating Radio Transients (RRATs): Improved Timing Parameters for Eight RRATs”,The Astrophysical Journal,847(1), pp75(2017) (SCI).
•Z. CaoandN. A. Schmid, “Fusion of Operators for Heterogeneous Periocular Recognition,”Pattern Recognition Letters,80p2, pp170-180 (2016) (SCI).
•Z. CaoandN. A. Schmid, “Recognition Performance of Cross-SpectralPeriocularBiometrics and Partial Face at Short and Long Standoff Distance,”Open Transactions on Information Processing,1(2), 20–32, 2014.
Conference
•Z. Cao, Y. Zhao, H. Zhao，W. Zhao, X. Xu and L. Pang, “Nighttime periocular recognition at long standoffs with deep learned features,” in Proc. SPIE Defense and Commercial Sensing , 2019, (EI).
•Z. Cao, Y. Zhao, H. Zhao, X. Xu and L. Pang, “Cross-Spectral Face Recognition with Image Quality Disparity Using Image Fusion,” in Proc. SPIE Defense and Commercial Sensing , 2019, (EI).
• L. Guo, H. Zhang, H. Zhai, C. Gong, B. Song, S. Tong, Z. Cao, X. Xu, "Research on image processing and intelligent recognition of space debris," in Proc. SPIE Defense and Commercial Sensing, pp. ** , 2019, (EI).
•Z. CaoandN. A. Schmid, “Matching HeterogeneousPeriocularRegions: Short and Long Standoff Distances,” inProc. of the IEEE International Conference on Image Processing (ICIP), pp. 4967–4971, 2014(EI).
•Z. CaoandN. A. Schmid, “Heterogeneous Sharpness for Cross-Spectral Face Recognition,” inProc. SPIE 10202, Automatic Target Recognition XXVII,pp. 102020Q,2017 (EI, invited).
•Z. Cao, N. A. Schmid and X. Li, “Image disparity in cross-spectral face recognition: Mitigating camera and atmospheric effects”, inProc., Automatic Target Recognition XXVI,2016(EI, invited).
•Z. CaoandN. A. Schmid,“Composite Multi-Lobe Descriptor for Cross-Spectral Face Recognition:Matching Active IR to Visible Light Images”, inProc. SPIE 9476, Automatic Target Recognition XXV,pp. 94760T,2015(EI, invited).
•M. Alkhweldi,Z. CaoandN. A. Schmid, “Distributed Estimation of Parametric Field in Presence of Uncertainty in Sensors Locations,” inProc. SPIE 9476, Automatic Target Recognition XXV,pp. 94760R,2015(EI).
Magzine
•Z. CaoandN. A. Schmid,“Novel Composite Operator for Cross-Spectral Face Recognition”,SPIE Newsroom Magazine,April 2015 (ISSN 1818-2259).
Book and Book Chapter
•Z. Cao,N. A. Schmid and T. Bourlai,“Local Operators and Measures for Heterogeneous Face Recognition”,Face Recognition across the Electromagnetic Spectrum, Springer, 2016 (ISBN 978-3-319-28499-6).

Honors
Ongoing Research Projects:
1. SWIR-Based Cross-Spectral Face Recognition under Severe Conditions,the Chinese NSF,PI
2. Integration of Face Recognition and Liveness Detection with Multi-Spectra,the CCF-IFAA Fund,PI
3. R&D of an Intelligent Peep Hole Surveillance and Door Access System,Company,PI
4.Research on Cross-Spectral Face Recognition and Heterogeneous Image Quality,the Fundamental Research Funds for the Central Universities,PI
5.Research on Cross-Dataset and Small-Sized Fingerprint Recognition and ID Authentication on Terminals,the Chinese NSF, Co-
Investigator
-----------------------------------------------------------
Completed Research Projects:
1. Biometrics meets Forensics: Automated Approach to Biometric Data Analysis and Matching, West Virginia University
2. Partial Face Matching across the IR Band, NSF
3. SSCO TechnologyforRoboticServicing and OrbitalSpace Assets, NASA
4. Denoising and Detection of Rotating Radio Transients Pulsar Signals, NASA
5. National Center for the Robotic Servicing of Orbital Space Assets, NASA
6. Intelligent Camera Networks for the Recognition of Human Activities in Urban Environments, DoD
7. Cross-Spectral Facial Recognition Algorithm Development: SWIR against Visible Light Images, EOIR Technologies, Inc.
8. National Center for the Robotic Servicing of Orbital Space Assets, NASA

Team
MS students:
Mr. Yuanming Zhao (Graduated, currently at China Merchants Bank Co.，Shanghai)
Mr. Guoli Qin
Mr. Dongxu Che
Ms. Xi Cen
Ms. Jiayu Hu
Mr. Wuxing Chen
Mr. Jianglong Li
Ms. Jiaxuan Zhang
Mr. Kaituo Zhang

Teaching
Introduction toBiometrics and Encription
Advanced Biometrics and Encription
Graphics, Image Processing and Modern Pattern Recognition
Linear Algebra
Modern Electroinc Measurement Technqiues
Fundamentals of Electric Circuits

Admission
招生信息简介：
欢迎对人脸和指纹识别加密、模式识别、机器学习、计算机视觉、人工智能等领域感兴趣的同学报考我们课题组（西安电子科技大学生物特征识别与加密实验室）。
联系老师：曹老师， zccao@xidian.edu.cn
赵老师，zhaoheng@life.xidian.edu.cn
庞老师，ljpang@mail.xidian.edu.cn
实验室网站：http://site-453872-9299-8692.sxl.cn/
招生要求：
具有高度自我驱动力(highly self-driven)且吃苦耐劳
具备良好数学基础
具备良好编程能力，熟练C/C++/MATLAB/Python至少一种语言
有图像处理、模式识别、机器学习、信号处理等相关领域基础知识
招生专业：生物医学工程、通信工程
研究方向：人脸/指纹识别、生物特征加密、信息安全
招生类型：学术/工程/联陪硕士研究生、博士研究生
招生人数：硕士4 ~8人/年，博士1~2人/年