6th International Young Scientist Congress (IYSC-2021) and workshop on Intellectual Property Rights on 8th and 9th May 2021.  10th International Science Congress (ISC-2020) will be Postponed to 8th and 9th December 2021 Due to COVID-19.  International E-publication: Publish Projects, Dissertation, Theses, Books, Souvenir, Conference Proceeding with ISBN.  International E-Bulletin: Information/News regarding: Academics and Research

Contactless Hand Based Multimodal Biometrics Identification System

Author Affiliations

  • 1 Department of Information and Communication Engineering, Anna University Chennai, Regional Center Madurai Madurai, INDIA

Res. J. Engineering Sci., Volume 2, Issue (3), Pages 6-10, March,26 (2013)


Biometrics is an emerging technology that is used to identify people by their physical and/or behavioural characteristics and, so, it inherently requires that the person to be identified is physically present at the point of identification. A new approach for multimodal based personal identification using hand images is presented. This paper attempts to improve the performance of hand based verification system by integrating palm print, hand geometry and knuckle print features from user’s hand. Unlike other multimodal biometric systems, the users do not have to undergo the inconvenience of using two different sensors since the palm print, hand geometry and Knuckle Print features can be acquired from the same image, at the same time. Individual matching scores are then combined using a new dynamic fusion approach. The experimental results showed the effectiveness of the system in terms of equal error rate.


  1. Adams Kong and David Zhang and Mohamed Kamel, A survey of palmprint recognition Pattern Recognition, 42,1408-1418, (2009)
  2. Kong and Zhang D. and Lu G. , A study of identical twins palm print for personal verification Pattern Recognition, 39, 2149-2156, (2006)
  3. Han C.C. and Cheng H.L. and Lin C.L. and Fan K.C., Personal authentication using palm-print features Pattern Recognition, 36, 371—381, (2003)
  4. Kung S.Y. and Shang-Hung Lin and Ming Fang., A neural network approach to face/palm recognition. Neural Networks for Signal Processing V. Proceedings of the IEEE Workshop, 323 -332 (1995)
  5. Wu X. and Wang K. and Zhang D., Fuzzy direction element energy feature (FDEEF) based palmprint identification Proc. Int. Conf. Pattern Recognition, 95—98 (2002)
  6. Connie T. and Jin A.T.B. and Ong M.G.K. and Ling D.N.C., An automated palmprint recognition system Image and Vision Computing, 23, 501—515 (2005)
  7. Manisha P. Dale and Madhuri A. Joshi and Neena Gilda, Texture Based Palmprint Identification Using DCT Features, Proc. Int. Conf. Advances in Pattern Recognition, pages 221—224 (2009)
  8. Aglika Gyaourova and Arun Ross, Index Codes for Multi biometric Pattern Retrieval IEEE Transactions on Information Forensics And Security, 7(2), (2012)
  9. Ajay Kumar and David Zhang,“Personal Recognition Using Hand Shape and Texture” IEEE Transactions on Image Processing, 15(8),(2006)
  10. Ajay Kumar and Sumit Shekhar, Personal Identification Using Multi biometrics Rank level fuson IEEE Transactions On Man And Cybernetics—Part C: Applications And Reviews, 41(5), (2011)
  11. Ajay Kumar and Yingbo Zhou, Human Identification Using Finger Images IEEE Transactions On Image Processing,21(4),(2012)
  12. Anil K. Jain, Arun Ross, and Salil Prabhakar, An Introduction to Biometric recognition IEEE Transactions On Circuits and Systems For Video Technology, 14(1),(2004)
  13. Erdem Yörük, Ender Konukolglu, Bülent Sankur and Jérôme Darbon,“Shape–based Hand recognition IEEE Transactions On Image Processing, 15(7),(2006)
  14. Gang Zheng, Chia-Jiu Wang, and Terrance Boult.E, Application of projective invariants in hand geometry Biometrics IEEE Transactions On Information Forensics And Security, 2(4), (2007)
  15. Jifeng Dai and Jie Zhou, Multi feature-Based High-Resolution Palm print Recognition IEEE Transactions On Pattern Analysis And Machine Intelligence 33(5), (2011)
  16. Xiangqian Wu and Zhang, D. and Kuanquan Wang, Palm line extraction and matching for personal authentication IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 36(5), 978 -987 (2006)
  17. Nobuyuki Otsu, A Threshold selection method based on gray level his Histogram IEEE Transactions On Systems, Man, And Cybernetics, Smc-9(1),(1979)
  18. Richard M. Jiang, Abdul H. Sadka, and Danny Crookes, Multimodal Biometric Human Recognition for Perceptual Human–Computer Interaction IEEE Transactions On Systems, Man And Cybernetics—Part C: Applications And Reviews, 40(6), (2010)
  19. Slobodan Ribaric and Ivan Fratric, A Biometric Identification based on eigen palm and eigen finger features IEEE Machine Transactions On Pattern Analysis Intelligence, 27(11), (2005)
  20. Yingbo Zhou and Ajay Kumar, Human Identification Using Palm- Vein Images IEEE Transactions On Information Forensics And Security, 6(4),(2011)
  21. Vivek Kanhangad, Ajay Kumar and David Zhang, Contactless and Pose Invariant Biometric Identification Using Hand Surface, IEEE Transactions on Image Processing, 20(5),(2011)
  22. Paigwar Shikha and Shukla Shailja, Neural Network based Offline Signature Recognition and verification system, Research Journal of Engineering Sciences, 2(2), 11-15 (2013)
  23. Singh Amarendra and Verma Nupur, Ear Recognition for automated Human Identification, Research Journal of Engineering Sciences,1(5), 44-46, (2012)
  24. Yadav Sunil Kumar and Rizvi Syed Azhar Abbas, Cybernetics Security Requirements and Reuse for Improving Information Systems Security, Research Journal of Engineering Sciences, 1(5), 51-54, (2012)