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Study of Biometric Data Processing by Hadoop

Published on May 2012 by Madhavi Vaidya, Swati Sherekar
journal_cover_thumbnail

National Conference on Recent Trends in Computing
Foundation of Computer Science USA
NCRTC - Number 3
May 2012
Authors: Madhavi Vaidya, Swati Sherekar
441d186c-8e71-4391-9b1b-13fbc7772cb6

Madhavi Vaidya, Swati Sherekar . Study of Biometric Data Processing by Hadoop. National Conference on Recent Trends in Computing. NCRTC, 3 (May 2012), 26-31.

@article{
author = { Madhavi Vaidya, Swati Sherekar },
title = { Study of Biometric Data Processing by Hadoop },
journal = { National Conference on Recent Trends in Computing },
issue_date = { May 2012 },
volume = { NCRTC },
number = { 3 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 26-31 },
numpages = 6,
url = { /proceedings/ncrtc/number3/6534-1024/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Computing
%A Madhavi Vaidya
%A Swati Sherekar
%T Study of Biometric Data Processing by Hadoop
%J National Conference on Recent Trends in Computing
%@ 0975-8887
%V NCRTC
%N 3
%P 26-31
%D 2012
%I International Journal of Computer Applications
Abstract

UID is being implemented in India providing valuable information of citizens. Various facilities are to be provided on the basis of that information to the masses. It will also reveal how it can be used for genuine identity of a person and thus improving security for various e-governance applications. In this paper idea of UID and authentication request types such as biometric have been studied. The use of Hadoop Architecture is suggested which can be used for studying the authentication request types such as biometric technique, as it is one of the strongest method of authentication. In Aadhaar Card System, Residents Photograph, Finger Prints and Iris recognition are collected. We have suggested how Hadoop, a distributed file system architecture can be used to develop this model. Hadoop implements Map/Reduce framework. Map/Reduce makes an easy task to process large amount of data on cloud or from various nodes where data is scattered.

References
  1. uidai. gov. in/
  2. UNIQUE IDENTIFICATION NUMBER AND EGOVERNANCE SECURITY - Subash ChanderGovernment College, Karnal, Haryana, IndiaInternational Journal of Computing and Business Research (IJCBR) Volume 1, N. 1 December – 2010
  3. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND MANAGEMENT (IJCSM) ISSUE 1 VOL1 Application of Fingerprint Recognition in User Identification
  4. www. uidaicards. com
  5. www. wikipedia. com
  6. Biometric template selection and update: a case study in fingerprints, the Journal of Pattern Recognition Society , Umut Uludag, Arun Ross & Anil Jain13th Nov 2003
  7. Authentication Technologies: http://biometrics. pbworks. com/w/page/14811351/Authentication%20technologies#FactorsOfAuthentication
  8. Iris Recognition: An Emerging Biometric Technology PROCEEDINGS OF THE IEEE, VOL. 85, NO. 9, SEPTEMBER 1997
  9. US Patent - Biometric Personal Identification System based on Iris Analysis, Patent No 5291560 March 1 1994
  10. Iris recognition on hadoop: A biometrics system implementation on cloud computing, Shelly, N. S. Raghava proceedings of IEEE CCIS2011
  11. Figures from Biometric Hadoop Summit 2010
  12. An Identity-Authentication System
  13. Using Fingerprints Anil K. Jain, Fellow, IEEE, Lin Hong, Sharath Pankanti, Associate Member, IEEE and Ruud Bolle, Fellow, IEEE Proceedings Of IEEE Vol. 85, No. 9, September 1997
Index Terms

Computer Science
Information Sciences

Keywords

Hadoop Biometric Data Processing Uidai Aadhaar