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Reseach Article

Application of Data Mining Techniques to Palmprint Recognition

Published on March 2012 by Prachi Janrao, Vikas Singh
International Conference and Workshop on Emerging Trends in Technology
Foundation of Computer Science USA
ICWET2012 - Number 9
March 2012
Authors: Prachi Janrao, Vikas Singh
9c7fbd66-64d6-4a40-90ce-770704806725

Prachi Janrao, Vikas Singh . Application of Data Mining Techniques to Palmprint Recognition. International Conference and Workshop on Emerging Trends in Technology. ICWET2012, 9 (March 2012), 36-39.

@article{
author = { Prachi Janrao, Vikas Singh },
title = { Application of Data Mining Techniques to Palmprint Recognition },
journal = { International Conference and Workshop on Emerging Trends in Technology },
issue_date = { March 2012 },
volume = { ICWET2012 },
number = { 9 },
month = { March },
year = { 2012 },
issn = 0975-8887,
pages = { 36-39 },
numpages = 4,
url = { /proceedings/icwet2012/number9/5381-1072/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference and Workshop on Emerging Trends in Technology
%A Prachi Janrao
%A Vikas Singh
%T Application of Data Mining Techniques to Palmprint Recognition
%J International Conference and Workshop on Emerging Trends in Technology
%@ 0975-8887
%V ICWET2012
%N 9
%P 36-39
%D 2012
%I International Journal of Computer Applications
Abstract

Data mining is a powerful technology that extracts and analyzes data for finding correlations or patterns from the large sets of databases. It performs pattern analysis on large sets of data, using tools like association, clustering, segmentation and classification for helping bettermanipulation of the data. Palmprint is considered to be one of the most stable biometric characteristics. Over the last decade implementation of Palmprint recognition for security purpose has been increased all over the world. The paper proposes the application of Data mining techniques to the Palmprint recognition for improving the performance of retrieval

References
  1. Anil K. Jain,ArunRoss,andSalilPrabhakar “An Introduction to Biometric Recognition”, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 14, NO. 1, JANUARY 2004
  2. K.Krishneswari, S.Arumugam , “A Review on Palm Print Verification System” International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM) ISSN: 2150-7988 Vol.2 (2010), pp.113-120
  3. Xiangqian Wu, David Zhang, Kuanquan Wang, Bo Huang,“Palmprint classification using principal lines” 2004 Pattern Recognition Society. Published by Elsevier Ltd.
  4. Adams Kong, 2David Zhang, and 3Mohamed Kamel, “A Survey of Palmprint Recognition”
  5. J. Doublet, M. Revenu and O. Lepetit, “Robust grayscale distribution estimation forcontactless palmprint recognition”, FirstIEEE International Conference onBiometrics:Theory, Applications, andSystems, pp. 1-6, 2007.
  6. Jiansheng Chen Yiu-Sang Moon, “Using SIFT Features in Palmprint Authentication”, 2008 IEEE
  7. J.S. Chen, Y.S. Moon, and H.W. Yeung, “Palmprint Authentication Using Time Series”, Proc. of AVBPA, 376-385, 2005.
  8. H. B. Kekre, V. A. Bharadi, “Palmprint Recognition using Kekre’s Wavelet’s Energy Entropy Based Feature Vector”. ACM 2011.
  9. Munaga. V. N. K. Prasad, P. Manoj, D. Sudhir Kumarand AtulNegi, “IntramodalPalmprint Authentication”, SITIS 2006.
  10. Xiangqian Wu, David Zhang, Kuanquan Wang, “Fisherpalms based palmprint recognition” 2003
  11. Jian-Gang Wang, Wei-Yun Yau, Andy Suwandy, Eric Sung, “Fusion of Palmprint and Palm Vein Images for Person Recognition Based on “Laplacianpalm” Feature”, IEEE 2007.
  12. ZHANG Li-cong, DING Xiao-ming, ZHANG Yan-qiang, LI Qiang, WANG Cheng-qi, “Embedded Online Palmprint Verification System based on Ethernet”, IEEE 2009.
  13. YUE Feng, ZUO Wang-Meng& ZHANG Da-Peng“Survey of Palmprint Recognition Algorithms“.
  14. X. Wu, D. Zhang, K. Wang and B. Huang, “Palmprint classification using principle lines”, Pattern Recognition, Vol 37, No 10, pp 1987-1998, Oct 2004.
  15. Li Fang, Maylor K.H. Leung , TejasShikhare, Victor Chan, Kean FattChoon, “Palmprint Classification”
Index Terms

Computer Science
Information Sciences

Keywords

K-means algorithm Plamprint recognition