Accurate Personal Identification using Finger Knuckle and Finger Vein Biometric Images

Slides (pdf)

Abstract

There has been tremendous growth in the demand for hand-based biometrics systems that can offer more user friendly and accurate biometrics identification. The anatomy of fingers is quite complicated and responsible for a variety of unique features that can be conveniently recovered under the visible and near infrared imaging. This talk will focus on the two relatively new biometric modalities, i.e. finger-knuckle and finger-vein, which have shown to offer more accurate and secured personal identification. These two modalities can be simultaneously (single imaging shot) acquired with the fingerprints, extremely difficult to spoof as such attempt will require complicated surgical alterations, and therefore offers a low-cost and more reliable countermeasure for secured biometrics access. We will discuss on the development of state of art algorithms for the automated segmentation and the matching of finger vein and finger knuckle images. Some insights on the stability of these modalities, challenges in the development of first publicly available finger-vein database, deep learning based robust finger-vein identification or the investigations into the world's largest finger knuckle database that introduced first minor and second minor finger knuckle modalities for the biometrics community, will also be discussed during this talk.


Biography

Ajay Kumar received the Ph.D. degree from The University of Hong Kong, Hong Kong, in 2001. He was an Assistant Professor with the Department of Electrical Engineering, IIT Delhi, Delhi, India, from 2005 to 2007. He is currently an Associate Professor with the Department of Computing, The Hong Kong Polytechnic University. His current research interests are on biometrics with an emphasis on hand biometrics, vascular biometrics, iris, and multimodal biometrics.

He holds six U.S. patents, and has authored on biometrics and computer vision based industrial inspection. He was on the Editorial Board of the IEEE Transactions on Information Forensics and Security from 2010 to 2013, and served on the program committees of several international conferences and workshops in the field of his research interest. He was the Program Chair for ICEB 2010 (Hong Kong) and Program Co-Chair for the IJCB 2011 (Washington DC), ICB 2013 (Madrid), and CVPR 2013-2017 Biometrics Workshops. He has also served as the General Co-Chair of the IJCB 2014 (Tampa) and the ISBA 2015 (Hong Kong) and delivered the first tutorial on contactless 3D fingerprint identification during the CVPR 2015 held in Boston, USA. He serves on the Editorial Board of Pattern Recognition Journal and has served on the IEEE Biometrics Council as the Vice President (publications) during 2011-2015. He is a Fellow of IAPR and Senior Member of IEEE.


References

  • D. L. Woodard, P. J. Flynn, "Finger surface as a biometric identifier", Computer Vision and Image Understanding, pp. 357-384, vol. 100, Aug. 2005.
  • S. Malassiotis, N. Aifanti, and M. G. Strintzis, "Personal Authentication using 3-D finger geometry", IEEE Trans. Information Forensics and Security, vol.1, no.1, pp.12-21, Mar. 2006.
  • M. A. Ferrer, C. M. Travieso and J. B. Alonso, "Using Hand Knuckle Texture for Biometric Identifications", IEEE A&E Systems Magazine, June 2006.
  • http://www.inmagine.com/searchterms/hand_covering_face-2.html
  • J. Hashimoto , "Finger vein authentication technology and its future," Proc. VLSI Circuits Symp., June 2006
  • W. Chang-Yu, S. Shang-Ling, S. Feng-Rong, M. Liang-Mo, "A Novel Biometrics Technology- Fingerback Articular Skin Texture Recognition", ACTA Automatica Sinica, vol.32, no.3, May 2006.
  • The Hong Kong Polytechnic University Contactless Finger Knuckle Image Database, Version 1.0, October 2012; http://www.comp.polyu.edu.hk/~csajaykr/fn1.htm
  • A. Kumar and Ch. Ravikanth, "Personal authentication using finger knuckle surface", IEEE Trans. Info. Forensics & Security, vol. 4, no. 1, pp. 98-110, Mar. 2009.
  • A. Kumar, "Incorporating cohort information for reliable palmprint authentication," Proc. ICVGIP, Bhubaneswar, India, pp. 583–590, Dec. 2008.
  • D. G. Joshi, Y. V. Rao, S. Kar, V. Kumar, and R. Kumar, "Computer vision based approach to personal identification using finger crease patterns, Pattern Recognition, pp. 15-22, Jan. 1998.
  • Y. Hao, T. Tan, Z. Sun and Y. Han, "Identity verification using handprint," Proc. ICB 2007, Lecture Notes Springer, vol. 4642, pp. 328-337, 2007.
  • Handbook of Biometrics, A. K. Jain, P. Flynn, and A. Ross (Eds.), Springer, 2007.
  • K. Sricharan, A. Reddy and A. G. Ramakrishnan, "Knuckle based hand correlation for user verification," Proc. SPIE vol. 6202, Biometric Technology for Human Identification III, P. J. Flynn, S. Pankanti (Eds.), 2006. doi: 10.1117/12.666438
  • Y. Hao, T. Tan, Z. Sun and Y. Han, "Identity verification using handprint," Proc. ICB 2007, Lecture Notes Springer, vol. 4642, pp. 328-337, 2007.
  • W. Jia, D.-S. Huang, and D. Zhang, "Palmprint verification based on robust line orientation code," Pattern Recognition, vol. 41, pp. 1504-1513, 2008.
  • The Hong Kong Polytechnic University Contactless Hand Dorsal Images Database, http://www.comp.polyu.edu.hk/~csajaykr/knuckleV2.htm
  • Handbook of Biometrics, A. K. Jain, P. Flynn, and A. Ross (Eds.), Springer, 2007
  • HTC Desire HD http://www.htc.com/www/smartphones/htc-desire-hd/(Accessed 20 March 2012)
  • Android NDK http://developer.android.com/sdk/ndk/overview.html(Accessed 20 March 2012)
  • A. Kumar and Y. Zhou, 'Human identification using knucklecodes,' Proc. 3rd Intl. Conf. Biometrics, Theory and Applications, Washington D. C., BTAS'09, pp. 147-152, Sep. 2009.
  • Contactless Finger Knuckle Identification using Smartphones (Demo), http://www.youtube.com/watch?v=bjPJwbSiMgo
  • The Hong Kong Polytechnic University Mobile Phone Finger Knuckle Database, http://www.comp.polyu.edu.hk/~csajaykr/knuckle.html, 2012
  • K. R. Park, H.-A. Park, B. J. Kang, E. C. Lee, and D. S. Jeong, "A study on iris localization and recognition on mobile phones," Eurosip J. Advances Sig. Process., vol. 2008, Article no. 281943, doi:10.1155/2008/281943, 2008.
  • D. Mulyono and H. Shin, ‘A study of finger vein biometric for personal identification," Proc. ISBAST, 2008
  • The Hong Kong Polytechnic University Finger Image Database (Version 1.0), http://www4.comp.polyu.edu.hk/~csajaykr/fvdatabase.htm
  • E. C. Lee, H. C. Lee, and K. R. Park, "Finger vein recognition using minutia-based alignment and local binary pattern-based feature extraction, Intl. J. Imaging Sys. & Techpp. 179–186, 2009.
  • A. Kumar and Z. Xu, "Personal identification using minor knuckle patterns from palm dorsal surface," IEEE Trans. Information Forensics & Security, pp. 2338-2348, Oct. 2016.
Ajay Kumar

Ajay Kumar
The Hong Kong Polytechnic University, Hong Kong