Veins Based Personal Identification Systems: A Review

Автор: Kamta Nath Mishra, Kanderp Narayan Mishra, Anupam Agrawal

Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa

Статья в выпуске: 10 vol.8, 2016 года.

Бесплатный доступ

Identification of people among each other has always been a tough and challenging task for the researchers. There are many techniques which are used for identifying a person but biometric technique is the standard one which allows us for online identification of individuals on the basis of their physiological and behavioral features. The veins based systems include finger veins, face veins, palm veins, head veins, heart veins, iris, palatal veins of the rogue etc. The multi-veins based systems use the veins of different physiological traits for identifying a person. This paper illustrates an overview of veins based personal identification systems. The performance of different single and multi-veins based identification systems are analyzed in this paper. The features like reliability, security, accuracy, robustness and long term stability along with the strengths and weaknesses of various veins based biometric approaches were taken into considerations while analyzing the results of existing research papers published so far. At last the future research directions in the field of veins based identification systems have also been outlined.

Еще

Face veins, Finger veins, Hand veins, Heart veins, Multi-veins, Palatal veins, Palm veins

Короткий адрес: https://sciup.org/15010868

IDR: 15010868

Список литературы Veins Based Personal Identification Systems: A Review

  • Amirthavalli Kannika, and Kirubha D., “Thermal Imaging as a Biometrics Move Towards Facial Signature Substantiation”, International Journals of Advanced Computational Engineering & Networking, Vol. 2, No. 1, pp.54-58, 2014.
  • Anand Jose, Flora T. G. Arul and Philip Anu Susan, “Finger Vein Based Biometric Security System”, International Journal of Research in Engineering and Technology, Vol. 2, pp. 197-200, 2013.
  • Arandjelovic Ognjen, Hammoud B. Riad and Cipolla Robberto, “Thermal and Reflectance Based Personal Identification Methodology under Variable Illumination”, Pattern Recognition, Vol. 43, No. 5, pp. 1801-1813, 2010.
  • Badawi Ahmed M., “Hand Vein Biometric Verification Prototype: A Testing Performance and Patterns Similarity”, IPCV, pp. 3-9, 2006.
  • Benziane Sarah and Benyettou Abdelkader, “Biometric Technology Based on Hand Vein”, Oriental Journal of Computer Science & Technology, Vol. 6. pp. 401-412, 2013.
  • Buddharaju Pradeep, Pavlidis Loannis and ManoharChinmay, “Face Recognition Beyond The Visible Spectrum”, Advances in Biometrics, Springer London, pp. 157-180, 2008.
  • Chekmenev Sergey Y., Farag Aly A. and Essock Adward A., “Thermal Imaging of the Superficial Temporal Artery: An Arterial Plus Recovery Model” IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-7, 2007.
  • Chen Cunjian, and Ross Arun, “Evaluation of Gender Classification Methods on Thermal and Near Infrared Face Image”, IEEE Biometric International Conference, pp. 1-8, 2011.
  • Chengbo Yu, Huafeng Qing, and Lian Zhang, “A Research on Extracting Low Quality Human Finger Vein Pattern Characteristics”, The Second International Conference on Bioinformatics and Biomedical Engineering, pp.1876-1879, 2008.
  • Chennamma H. R., Rangarajan Lalitha, and Veerabhadrappa, “Face Identification From Manipulated Facial Images Using SIFT”, IEEE International Conference on Emerging Trends in Engineering and Technology, pp. 192-195, 2010.
  • Cho Siu Yeung, Ting Chan Wai, and Quek Chai, “Thermal Facial Pattern Recognition for Personal Verification Using Fuzzy CMAC Model”, International journal of innovative, Information and Control, Vol. 7, pp. 203 – 222, 2011.
  • Chu Rufeng, Liao Shengcai, Han Yufei, Sun Zhenan, Li Stan Z. and Tan Tieniu, “Fusion of Face and Plamprint for Personal Identification Based on Ordinal Features”, IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-2, 2007.
  • Covavisaruch N. and Prateepamornkul P., “Personal Identification System Using Hand Geometry and Iris Pattern Fusion”, IEEE International Conference on Electro/ Information Technology, pp. 597-602, 2006.
  • Deepamalar M. and Madheswaram M., “An Improved Multimodal Palm Vein Recognition System Using Shape and Texture Features”. International Journal of Computer Theory and Engineering, Vol. 2, pp. 95-101, 2010.
  • Ding Y., Zhuang D. and Wang K., “A Study of Hand Vein Recognition Method”, Proceedings of the IEEE International Conference on Mechatronics & Automation, pp. 2106-2110, 2005.
  • E. Manjunathswamy B, J Thriveni, R Venugopal K and Patnaik L M, “Multi Model Personal Authentication Using Finger Vein and Face Images”, IEEE International Conference on Parallel, Distribution and Grid Computing, pp. 341-344, 2014.
  • Ferrer Miguel A., Morales Aythami, Travieso Carlos M. and Alonso Jesus B., “ Low Cost Multimodal Biometric Identification System based on Hand Geometry, Palm and Finger Textures”, in 41st Annual IEEE International Carnahan Conference on Security Technology, pp. 52-58, 2007.
  • Fuksis R.,KadikisA.andGreitans M., “Biohashing and Fusion of Palmprint and palm vein Biometric Data”, In Hand Based Biometric, pp. 98-110, 2011.
  • Garbey Marc, Sun Nanfei, Merla Arcangelo, and PavlidisLoannis, “Contact-Free Measurement of Cardiac Plus Based on The Analysis of Thermal Imagery”, Biomedical Engineering, IEEE, Vol. 54, pp. 1418-1426, 2007.
  • Gault Travis R., Blumenthal Nicholas, Farag Aly A., Starr Tom, “Extraction of the Superficial Vasculature, Vital Sign Waveform & Rates Using Thermal Imaging”, IEEE Computer Vision and Pattern Recognition Workshops, pp. 1-8, 2010.
  • Ghiassa Reza Shoja, Arandjelovi Ognijen, Bendadaa Abdelhakim, and Maldague Xavier, “Infrared Face Recognition”, Audio – Video Based Biometrics Person Authentication, Springer Berlin Heidelberg, Vol. 47, pp. 2807-2824, 2014.
  • Gopinath P., “Human Identification Based on Finger Veins- A Review”, International Journal of Humanities, Arts, Medicine and Sciences, Vol. 2, pp. 29-34, 2014.
  • Guzman Ana M., Goryawala Mohammmed, and Adjouadi Malek, “Generating Thermal Signatures Using Thermal Infrared Images”, IEEE International Conference on Emerging Signal Processing Application, pp. 21-24, 2012.
  • Guzman Ana M. , Goryawala Mohammed, Wang Jin, Barreto Armando, Andrian Jean, Rishe Naphtali, and Adjoua di Malek, “Thermal Imaging as a Biometrics Approach to Facial Signature Authentication”, Biomedical and Health Informatics, IEEE Journal, Vol. 17, pp.214-222, 2013.
  • Hani M. Khalil and Eng P. C., “FPGA Based Embedded System Implementation of Finger Vein Biometrics”, IEEE Symposium on Industrial Electronic Applications, pp. 700-705, 2010.
  • Hani M. Khalil, Nambiar V.P. and Marsono M. N., “GA-Based Parameter Tuning in Finger Vein Biometric Embedded System for Information Security”, IEEE International Conference on Communications Theory and Security. pp. 236-241, 2012.
  • Hartung Daniel, Olsen Martin Aastrup, XuHaiyun, and Busch Christoph, “Spectral Minutiae for Vein Pattern Recognition”, Biometrics International Joint Conference, IEEE, pp. 1-7, 2011.
  • Hartung Daniel, “Vascular Pattern Recognition and its Application in Privacy – Preserving Biometric Online – Banking System”, Ph. D. dissertation, Gjovik University College, 2012.
  • Hashimoto J., “Finger Vein Authentication Technology and Its Future”, Symposium on VLSI Circuit, pp. 5-8, 2006.
  • Honarpisheh Zahra and Faez Karim, “An Efficient Dorsal Hand Vein Recognition Based on Firefly Algorithm”, International Journal of Electrical and Computer Engineering, Vol. 3, pp. 30-41, 2013.
  • Ibrahim M. Mohamed Syed, Naimy Faris Salman Majeed Al, Rajaji L. and Amma S. Syed, “Biometric Recognition for Safe Transaction Using Vein Authentication System”, International Conference on Sustainable Energy and Intelligent System, pp. 77-82, 2012.
  • Jain A. K., Hong L., Pankanti s. and Boole R., “An Identity Authentication System Using Fingerprints” Proc. IEEE, Vol. 85, pp. 1365-1388, 1997.
  • Jain A., Chen Y. and Demirkus M., “Pores and Ridges: High Resolution Fingerprint Matching Using Level 3 Features”, IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 29, pp. 15-27, 2007.
  • K Parthiban, Whai Amitabh, S Sundaramurthy and C Palanisamy, “Finger Vein Extraction and Authentication Based on Gradient Feature Selection Algorithm” pp. 143-147, 2014.
  • KabacinksiR., and Kowalskii M., “Vein Pattern Database and Benchmark Result”, Electronics Letters, Vol. 47, No. 20, pp.1127-1128, 2011.
  • Kathuria Madhumita, “Design of a Vein Based Personal Identification System”, International Conference on Advances in Recent Technologies in Communication and Computing, pp. 284-286, 2010.
  • Kaur Rajwinder and Rani Rekha , “An Identity Authentication Using Finger Vein and Texture Images Using NN”, International Journal of Advanced Research in Computer in Computer Science and Software Engineering, Vol. 4, pp. 983-988, 2014.
  • Khan Maleika Heenaye-Mamode, Khan Naushad Mamode and Subramanian, “Feature extraction of Dorsal Hand Vein Pattern using a Fast Modified PCA Algorithm Based on Cholesky Decomposition and Lanczos Technique”, World Academy of Science, Engineering and Technology, Vol. 61, pp. 279-282, 2010.
  • Khan M. Heenaye-Mamode, R. K. Subramanian R. K. and Khan N. Mamode, “Representation of Hand Dorsal Vein Features Using a Low Dimensional Representation Integrating Cholesky Decoomposition”, IEEE 2nd International Congress on Image and Signal Processing, Vol. 3, pp. 17-19, 2009.
  • Kommini Chaitanya, Ellanti Kamlesh and Ellanti Harsha, “Hand Dorsal Veins and Kunckle Shape Based Authentication System”, International Journal of Computer Science and Information Technologies, Vol. 2, pp. 1633-1638, 2011.
  • Kong Adams, Zhang David and Kamel Mohamed, “A Survey of Palm Print Recognition”, Pattern Recognition, Elsevier Journal, pp. 1408-1418.
  • Kumar MG Sanjith, and Saravanan D, “A Novel Approach To Face Recognition Based On Thermal Imaging”, International Journal of Engineering Research and Technology, Vol.3, pp. 5-9, 2014.
  • Kumar Ajay and Prathyusha K. Venkata, “Personal Authentication using Hand Vein Triangulation and Knuckle Shape”, IEEE Transactions on Image rocessing, Vol. 38, pp. 2127-2136, 2009.
  • Kumar A. and Zhou Y., “Human Identification Using Finger Images”, IEEE Transactions on Image Processing, pp. 2228-2244, 2011.
  • Kuratate Takaaki, Riley, Marcia, Pierce Brennand, Cheng Gordon, “Gender Identification Bias Induced with Texture Image on a Life Size Retro-Projected Face Screen”, RO-MAN, IEEE International Symposium on Robot and Human Interactive Communication, pp. 43-48, 2012.
  • Lavanya A, Monika S, Sowmiya M., “Thermal Imaging and Facial Recognition Using Biometric Approach”, IJESC Journal, Vol. 16, pp. 62-69, 2014.
  • Lee Hyeon Chang, Park Kang Ryoung, Kang Byung Jun and Park Sung Joo, “A New Mobile Multimodal Biometric Device Integrating Finger Vein and Finger Print Recognition”, IEEE International Conference, pp. 1-4, 2009.
  • Lian Z., Rui Z. and Yu C. B., “Study on the Identity Authentication System on Finger Vein”, International Conference on Bioinformatics and Biomedical Engineering IEEE, pp. 1905-1907, 2008.
  • Lin C. and Fan K., “Biometric Verification Using Thermal Images of Palm-Dorsa Vein Patterns”, IEEE Transaction on Circuit and Systems for Video Technology, Vol. 14, No. 2, pp. 199-213, 2004.
  • Lu Yu, Yoon Sook, Xie Shan Juan, Yang Jucheng, Wang Zhihui and Park Dong Sun, “Finger Vein Recognition Using Histogram of Competitive Gabor Responses”, IEEE International Conference on Pattern Recognition, pp. 1758-1763, 2014.
  • Lu Y., Yoon S., Xie S. J. and Park D. S., “Finger Vein Identification Using Polydirectional Local Line Binary Pattern”, In Proceedings of International Conference on ICT Convergence, pp. 61-65, 2013.
  • Martinez Brais, Binefa Xavier, and PanticMaja, “Facial Component Detection in Thermal Imagery “, IEEE Computer and Pattern Recognition Workshops, pp. 48-54, 2010.
  • Ma H. and Wang K.J., “A Finger Vein Image Quality Assessment Using Object and Human visual system Index”, Intelligence Science and Intelligence Data Engineering, pp. 498-506, 2013.
  • Mekyska Jiri, Duro Virginia Espinosa, and Zanuy Marcos Faundez, “Face Segmentation: A comparison Between Visible and Thermal Image”, IEEE International Carnahan Conference on Security Technology, pp.185-189, 2010.
  • Mulyono D.and Hrong S.J., “A Study of Finger Vein Biometric for Personal Identification”, International Symposium on Biometrics and Security Technologies, pp. 1-8, 2008.
  • Miura Naoto, Nagasaka Akio and Miyatake, “Feature Extraction of Finger-Vein Patterns Based on Repeated Line Tracking and Its Application to Personal Identification”, Machine Vision and Applications, pp. 194-103, 2004.
  • Miura N., Nagasaka A., Miyatake T., “Extraction of Finger Vein Patterns Using Maximum Curvature Points in The Image Profiles”, IEICE- Transitions on Information and Systems, pp. 1185-1194, 2007.
  • Mottl Vadim, Kopylov Andrey, Kostin Alexey, and Yermakov Alexey, “Elastic Transformation of the Image Pixel Grid for Similarity Based Face Identification”, Pattern recognition, Proceedings, of IEEE International Conference, Vol. 3, pp. 549-552, 2002.
  • Nandini C., C. Ashwini, Aparna Medha, Ramani Nivedita, Kini Pragnya and K. Sheeba, “Biometric Authentication By Dorsal Hand Vein Pattern”, International Journal of Engineering and Technology, Vol. 2, pp. 837-840, 2012.
  • Negied Nermin K., “Moving Toward Thermal Imaging”, International of Recent technology and Engineering, Vol. 2, pp. 73-77, 2014.
  • Nithyakalyani K., and Jayanthi T. “Face Recognition As A Biometrics Approach Using Thermal Images”, International Journal of Advances in Science Engineering and Technology, Vol.2, pp. 93-98, 2014.
  • Osia Nnamdi, and Bourlai Thirimachos, “Holistic and Partial Face Recognition in the MWIR Band Using Manual and Automatic Detection of Face Based Features”, Homeland Security, IEEE Conference on Technology, pp. 273-279, 2012.
  • Ravikant C. and Kumar A., “Personal authentication using finger knuckle surface”, Information Forensics and Security, Vol. 4, pp. 98-110, 2009.
  • Reillo R. Sanchez, Saavedra, Jimenez and Kwon Y.B., “Changes to Vascular Biometric System Security & Performance”, IEEE Aerospace and Electronic Systems Magazine, pp. 4-14, 2009.
  • Rosdi B. A., Shing C. W. and Saundi S. A., “Finger Vein Recognition Using Local Binary Pattern”, Sensor, Vol. 11, pp. 11357-11371, 2011.
  • Seal Ayan, Ganguly Suranjan, Bhattacharjee Debotosh, Nasipuri Mita, Basu, and Dipak Kumar, “Minutiae Based Thermal Human Face Recognition Using Label Connected Component Algorithm”, International Conference on Computer Communication, Control and Information Technology, Vol. 4, pp. 604-611, 2012.
  • Seal Ayan, Ganguly Suranjan, Bhattacharjee Debotosh, Nasipuri Mita, Basu, and Dipak Kumar, “Comprative Study of Human Thermal Face Recognition Based on Haar wavelet Transformation (HWT) and Local Binary Pattern (LBP)”, Computational Intelligence and Neuroscience , Vol. 17, pp.1-12, 2012.
  • Seal Ayan, Bhattacharjee Debotosh, Nasipuri Mita, Basu, and Dipak Kumar, “Minutiae Based Thermal Face Recognition using Blood Perfusion Data”, Procedia Technology, Vol. 3, pp. 604-611, 2013.
  • Seal Ayan, Ganguly Suranjan, Bhattacharjee Debotosh, Nasipuri Mita, Basu, and Dipak Kumar,“ Automated Thermal Face Recognition Based on Minutiae Extraction” ACM International Journal of Computational Intelligence Studies, Vol. 2, pp. 133-156, 2013.
  • Shan Shiguang, Gao Wen, and Zhao Debin, “Face Identification From A Single Example Image Based on Face Specific Sub Space”, IEEE International Conference on Acoustics, Speech and Signal Processing, Vol. 2, pp. II(21-25), 2002.
  • Song W., Kim T., Kim H. C., Choi J. H. Kong H. and Lee S., “A Finger Vein Verification System Using Mean Curvature”, Pattern Recognition Letters, Vol. 32, pp. 1541-1547, 2011.
  • Soni Mohit, Gupta Sandesh, Rao M. S. and Gupta Phalguni, “A New Vein Pattern-Based Verification System”, International Journal of Computer Science and Information Security, Vol. 8, pp. 58-63, 2010.
  • Sree V, Krishna and Rao P. Sudhakar, “Dorsal Hand Vein Pattern Authentication By Hough Peaks”, International Journal of Research in Engineering and Technology, Vol. 3, pp. 16-22, 2014.
  • Srivastava Prakash Chandra, Agrawal Anupam, Mishra Kamta Nath, Ojha P. K. and Garg R., “Fingerprints, Iris and Feature Based Multimodal Systems: A Review”, International Journal Information Technology and Computer Science,Vol. 5, No. 2, pp. 88-111, 2013.
  • Sun D. M., Liu D. and Liu H., “ Two Modality Based Bi-Finger Vein Verification System”, Proc. of International Conference on signal Processing, pp. 1690-1693, 2010.
  • Trujillo Leonardo, and Olague Gustavo, Hammoud Riad, Hernandez Benjamin, “Automatic Feature Localization in Thermal Images for Facial Expression Recognition”, Computer Vision and Pattern Recognition Workshops, IEEE Computer Society Conference, Vol. 3, pp. 14-14, 2005.
  • Tan Dun, Yang Jinfeng and Shi Yihua, “A Hierarchal Framework for Finger vein Image Classification”, IEEE, Asian Conference on Pattern Recognition, pp. 833-837, 2013.
  • Tanaka T. and Kubo N., “Biometric Authentication by Hand Vein Patterns”, SICE Annual Conference, Vol.1 pp. 249-253, 2004.
  • Tang Chaoying, Zhang Hengye, Kin Kong Adms Wai and Craft Noach, “Visualizing Vein Patterns from Color Skin Images Based on Image Mapping for Forensics Analysis”, 21st IEEE International Conference on Pattern Recognition, pp. 2387-2390, 2012.
  • Tang C., Kong A.W.K. and Craft N., “Uncovering Vein Pattern From Color Skin Images for Forensics Analysis”, CPVR, pp. 665-672.
  • Tang Darun, Huang Beining, Li Rongfeng and Li Wenxin, “A Person Retrieval Solution Using Finger Vein Patterns”, IEEE International Conference on Pattern Recognition, pp. 1306-1309, 2010.
  • T. R. Dary Ram., “An Embedded Finger Vein Recognition System”, International Journal of Research in Engineering and Technology, Vol. 3, pp. 70-74, 2014.
  • Uesugi Shiro, Okada Histoshi and Sasaki Toko, “The Impact of Personality on Acceptance of Privacy-Sensitive Technologies: A Comparative Study of RIFD and Finger vein Authentication System”, Technology and Society IEEE International Symposium, pp. 111-122, 2010.
  • Wang L., Leedham G. K. and Cho D., “Minutiae Feature Analysis for Infrared Hand Vein Pattern Biometrics”, The Journal of Pattern Recognition Society, Vol. 41, pp. 920-929, 2008.
  • Wang L. and Leedham G., “A Thermal Hand Vein Pattern Verification System”, ICAPR, LNCS, pp. 58-65, 2005.
  • Wang Lingyu and Leedham G., “Gray-Scale Skeletonization of Thermal Vein Patterns Using the Watershed Algorithm in Vein Pattern Biometrics”, The International Conference on Computational Intelligence and Security, Vol. 2, pp. 1597-1602, 2006.
  • Wang Ning, Li Qiong, A. Ahmed, Abd E1-Latif, Peng Jialing, NiuXiamu, “Multibiometric Complex Fusion for Visible and Thermal Face Images”, International Journal of Signal Processing, Image Processing and Pattern Recognition, Vol.6, pp. 1-16, 2013.
  • Wang Jian Gang, Yau Wei –Yun, Suwandy Andy and Sung Eric, “Fusion of Palm Print and Palm Vein Images for Person Recognition Based on ‘ Laplacian palm’ Feature”, Computer Vision and Pattern Recognition, IEEE International Conference, pp. 1-8, 2007.
  • Wang Jian Gang, Sung Eric, “Facial Feature Extraction in an Infrared Image by Proxy with a Visible Face Image”, Instrumentation and Measurement IEEE Transaction, Vol. 56, pp. 2057-2066, 2007.
  • Wang K., Yuan Z., “Finger Vein Recognition Based on Wavelet Moment Fused with PCA Transform”, Pattern Recognition and Artificial Intelligence, Vol. 20, pp. 692-697, 2007.
  • Wong Wai Kit, Hui Joe How, “Face Detection in Thermal Imaging Using Head Curve Geometry”, Image and Signal Processing IEEE International Congress, pp. 881-884, 2012.
  • Wang Desong, Li Jianping, and Memik Gokhan, “User Identification Based on Finger – vein Patterns for Consumer Electronic Devices”, IEEE Transactions on Consumer Electronic, pp.799-804, 2010.
  • Wei Shangging and GuXiaodong, “A Method for Hand Vein Recognition Based on Curve let Transform Phase Feature”, International Conference on Transportation, Mechanical and Electrical Engineering, pp. 1693-1698, 2011.
  • Wu J. D. and Ye S. H., “Driver Identification Using Finger Vein Patterns with Radon Transform and Neural Network”, Expert System Application, Vol. 36, pp. 5793-5799, 2009.
  • Xi Xiaoming, Yang Gongping, Yin Yilong and Meng Xianjing, “Finger Vein Recognition with Personalized Feature Selection”, pp. 11243-11259, 2013.
  • Xiuyan Li, Changyun Miao, Tiegen Liu and Chenhu Yuan, “Research on Personal Identity Verification Based on Hand vein, Iris and Fingerprint”, IEEE International Symposium on Computer Science and Society, pp. 16-19, 2011.
  • Xueyan Li and Shuxu Guo, “The Fourth Biometric-Vein Recognition”, Pattern Recognition and Techniques, Technology and Application, pp. 537-546, 2008.
  • Yu Yibin, Tang Yaofang, Cao Jinguo and Gan Jun Ying, “Multispectral Palm Print Recognition Using Score - Level Fusion”, IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, pp. 1450-1453, 2013.
  • Yuksel A, Akarun L and Sankur B, “Hand vein biometry based on geometry and appearance methods”, The Institute of Engineering and Technology, Vol. 5, pp. 398-406, 2011.
  • Yuan Wei-Qi and Li Wei, “A Palm Vein Feature Extraction Method based on Affine Invariant”, Robotics and Biometrics, IEEE International Conference, pp. 2323-2326, 2012.
  • Yang Jinfeng, Shi Yihua, Yang Jinli and Jiang Lihui, “A Novel Finger-Vein Recognition Method With Feature Combination”, Image Processing, IEEE International Conference, pp. 2709-2712, 2009.
  • Yang Jinfeng and yang Jinli, “Multi-channel Gabor Filter Design For Finger- Vein Image Enhancement”, IEEE International Conference on Image and Graphics, pp. 87-91, 2009.
  • Yang Jinfeng and Wang Junjie, “Finger-Vein Image Restoration Considering Skin Layer Structure”, IEEE International Conference on Hand Based Biometrics, pp.1-5, 2011.
  • Yang Wenming, Rao Qing, Liao Qingmin, “Personal Identification for Single Sample Using Finger Vein Location and Direction Coding”, IEEE International conference on Hand Biometrics, pp. 1-6, 2011.
  • Yang Wenming, Huang Xiaola, and Liao Qingmin, “Fusin of Finger Vein and Finger Dorsal Texture for Personal Identification Based on Comparative Competitive Coding”, Image Processing,19th IEEE International Conference on Image Processing, pp. 1141-1144, 2012.
  • Yang Yongming, Lin Kunming, Han Fengling and Zhang Zulong, “Dynamic Weighting for Effective Fusion of Fingerprint and Finger Vein”, Progress in Intelligent Computing and Applications, Vol. 1, pp. 50-61, 2012.
  • Yang J. F., Shi Y. H. and Yang J. L., “Personal Identification Based on Finger Vein Feature”, Computers in Human Behavior, pp. 1565-1570, 2011.
  • Zhang Zhong Bo, Wu Dan Yang, Ma Si Liang and Ma Jie, “Multi Scale Feature Extraction of Finger Vein Patterns Based on Wavelet and Local Interconnection Structure Neural Network”, IEEE International Conference , pp. 1081-1084, 2005.
  • Zhang Jing and Yang Jinfeng, “Finger – Vein Image Enhancement Based on Combination of Gray Level Grouping and Circular Gabor Filter”, IEEE International Conference, 1-4, 2009.
  • Zhang L., Zhang L., Zhang D. Zhu H., “Ensemble of Local and global Information for Finger – Knuckle- print Recognition”, Pattern Recognition, Vol. 44, pp. 1990-1998, 2011.
  • Zhang H., Tang C., Kong A.W.K. and Craft N., “Matching Vein Pattern for Forensic Investigation” The IEEE Conference on Biometrics: Theory, Application and Systems, 61-66, 2012.
  • Zhang L., Qin H. and Yu C., “Study on the Finger Vein Image Segmentation Algorithm”, Piezoelectectrics & Acorstooptics, Vol. 30, pp. 233-235, 2008.
  • Zhao S., Wang Y. and Y. Wang Y., “Extracting Hand Vein Patterns from Low Quality Images: A New Biometric Technique Using Low Cost Devices”, IEEE 4th International Conference on Image and Graphics, pp. 667-671, 2007.
  • Zhou Yingbo and Kumar Ajay, “Human Identification Using Palm-Vein Images”, IEEE Transactions on Information Forensics and Security, Vol. 6, pp. 1259-1274, 2011.
  • Zhou Yingbo and Kumar A., “Contactless Palm Vein Identification Using Multiple Representations”, Fourth IEEE International Conference on Biometric: Theory Applications, pp. 1-6, 2010.
  • Zhang Lin, Zhang Lei and Zhang David, et al, “On Line Finger-Knuckle-print Verification for Personal Identification”, Pattern Recognition, Vol. 43, pp. 2560-2571, 2010.
Еще
Статья научная