CFP last date
22 April 2024
Reseach Article

Biometric Parameters and Palm Print Recognition

by G. Seshikala, Umakanth Kulkarni, M. N. Giriprasad
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 21
Year of Publication: 2012
Authors: G. Seshikala, Umakanth Kulkarni, M. N. Giriprasad
10.5120/7068-9740

G. Seshikala, Umakanth Kulkarni, M. N. Giriprasad . Biometric Parameters and Palm Print Recognition. International Journal of Computer Applications. 46, 21 ( May 2012), 31-34. DOI=10.5120/7068-9740

@article{ 10.5120/7068-9740,
author = { G. Seshikala, Umakanth Kulkarni, M. N. Giriprasad },
title = { Biometric Parameters and Palm Print Recognition },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 21 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 31-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number21/7068-9740/ },
doi = { 10.5120/7068-9740 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:40:39.593769+05:30
%A G. Seshikala
%A Umakanth Kulkarni
%A M. N. Giriprasad
%T Biometric Parameters and Palm Print Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 21
%P 31-34
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A successful biometric system depends on the accuracy with which it works. The degree of accuracy is measured with biometric parameters. This paper addresses the various parameters used in the analysis and measurement of a Biometric system. This paper also presents experimental results of a palm biometric with a POLY U database. The performance is measured with a variable threshold.

References
  1. A. Ross, K. Nandakumar, and A. K. Jain, Handbook of Multibiometrics. Springer Verlag, 2006
  2. A. K. Jain, S. Pankanti, S. Prabhakar, L. Hong, A. Ross, and J. L. Wayman, Biometrics: A Grand Challenge, Proc. ICPR, vol. II, UK, pp. 935-942, 2004.
  3. A. K. Jain, A. Ross, and S. Pankanti, Biometrics: A Tool for Information Security, IEEE Trans. on Information Forensics and Security, vol. 1, no. 2, pp. 125-143, 2006.
  4. A. Adler, R. Youmaran, and S. Loyka, Towards a measure of biometric information, Proc. Canadian Conf. Computer Elec. Eng. , CCECE, Ottawa, Canada, 2006. http://www. sce. carleton. ca/faculty/adler//publications.
  5. A. Kumar and D. Zhang, Personal authentication using multiple palm print representations, Pattern Recognition, vol. 38, pp. 1695-1706, Oct. 2005.
  6. A. Ross, and A. K. Jain, Information Fusion in Biometrics, Pattern Recognition Letters, vol. 24, no. 13, pp. 2115-2125, 2003.
  7. A. Kumar and D. Zhang, Personal recognition using shape and texture, IEEE Trans. Image Process. , vol. 15, no 8, pp. 2454-2461, Aug. 2006.
  8. 8. G. Aggarwal, N. Ratha, and R. M. Bolle, Bio-metric Verification: Looking Beyond Raw Similarity Scores, Workshop on Multibiometrics (CVPR), New York, pp. 31 36, 2006
  9. 9. J. Bhatnagar and A. Kumar, On Some Performance Indices for Biometric Identification Sys-tem, Proc. ICB 2007, Lecture Notes in Computer Science, Springer-Verlag GmbH, vol. 4642, pp. 1043-1056, Aug. 2007.
  10. 10. J. L. Wayman, A. K. Jain, D. Maltoni, and D. Maio (Eds. ), Biometric Systems: Technology, Design and Performance Evaluation. New York: Springer Verlag, 2005.
  11. 11. N. A. Schmidt and J. A. O'Sullivan, Performance Prediction Methodology for Biometric System Using Large Deviations Approach, IEEE Trans. Signal Processing: Supplement on Secure Media, vol. 52, no. 10, pp. 3036-3045, 2004.
  12. 12. N. A. Schmidt; M. V. Ketkar, H. Singh, and B. Cukic, Performance analysis of iris-based identification system at the matching score level,IEEE Trans. on Information Forensics and Security, vol. 1, no. 2, pp. 154-168, 2006.
  13. 13. S. Dass, K. Nandakumar, and A. K. Jain, A Principled Approach to Score Level Fusion in Multimodal Biometric Systems, Proc. AVBPA, pp. 1049-1058, New York, 2005.
  14. 14. Y. Zhu, S. C. Dass and A. K. Jain, Statistical Models for Assessing the Individuality of Fingerprints, IEEE Trans. on Information Forensics and Security, vol. 2, no. 3, pp. 391-401, 2007.
  15. 15. W. Feller, An Introduction to Probability Theory and Applications. John Wiley & Sons, 1971.
Index Terms

Computer Science
Information Sciences

Keywords

Biometrics Frr Far Eer Gar roc Det Cmc Palm Recognition