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An Overview of Registration Based and Registration Free Methods for Cancelable Fingerprint Template
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International Journal of Computer Science and Security (IJCSS)
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Volume:  4    Issue:  1
Pages:  1-148
Publication Date:   March 2010
ISSN (Online): 1985-1553
Pages 
23 - 30
Author(s)  
Radhika Bhagwat - India
 
Published Date   
26-03-2010 
Publisher 
CSC Journals, Kuala Lumpur, Malaysia
ADDITIONAL INFORMATION
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
 
KEYWORDS:   Cancelable biometrics, non invertible transformation, registration 
 
 
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Cancelable biometric techniques are becoming popular as they provide the advantages of privacy and security, not provided by biometric authentication system. It transforms a biometric signal or feature into a new signal or feature by some transformation. These are non invertible transforms to make sure that the original biometric template cannot be recovered from them. Most of the existing methods for generating cancelable fingerprint templates need an absolute registration of the image. Therefore they are not robust to intra user variations. But there also exists methods that do not require registration of the image. This paper provides a comparison between two such methods, one that needs registration and other that does not need registration. Keywords: Cancelable biometrics, non invertible transformation, registration, registration free.  
 
 
 
1 Nalini K. Ratha, Sharat Chikkerur, Jonathan Connell, and Ruud Bolle, “Generating cancelable fingerprint templates”, IEEE Trans. on PAMI, April 2008.
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3 Chikkerur, S.; Ratha, N.K.; Connell, J.H.; Bolle, R.M,” Generating Registration – free Cancelable Fingerprint Templates “, 2nd IEEE International Conference on Biometrics: Theory, Applications and Systems, 2008. BTAS 2008.Sept. 29 2008-Oct. 1 2008 pp :1 - 6
4 D. Maio, Maltoni, A.K.Jain and S. Prabhakar. “Handbook of Fingerprint Recognition”. Spinger Verlag 2003.
5 N.Ratha, J.Connell, R. Bolle, and S. Chikkerur,” Cancelable Biometrics: A Case Study in Fingerprints,”Proc. Int’l Conf. Pattern Recognition, 2006.
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7 Andrew Teoh Beng Jin, David Ngo Chek Ling and Alwyn Goh, “Biohashing: Two factor authentication featuring fingerprint data and tokenized random number”. Pattern Recognition, vol. 37 no. 11, pp 2245-2255, 2004.
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9 U. Uludag and A.K.Jain, “A fuzzy fingerprint vault. In Workshop: Biometrics: Challenges arising from theory to practice”, pages 13-16, 2004.
10 S. Chikkerur, S. Pankanti, N. K. Ratha, and V. Govindaraju. “Singular point detection in fingerprint images using linear phase portraits “. In AVBPA, 2005.
11 Neil Yager and Adnan Amin,” Coarse Fingerprint Registration Using Orientation Fields”, EURASIP Journal on Applied Signal Processing, Volume 2005 (2005), Issue 13, Pages 2043-2053.
12 D.H. Ballard and C.M. Brown, “Computer Vision”. Englewood Cliffs, NJ: Prentice-Hall, 1982.
13 C. Lee, J. Y Choi, K. A Toh, S. Lee,” Alignment Free Cancelable Fingerprint Templates Based on Local Minutiae Information”, IEEE Trans. On System, Man, and Cybernetics – Part B: Cybernetics, vol. 37, no. 4, Aug 2007.
 
 
 
1 S. Gkarafli and A. A. Economides, “Comparing The Proof By Knowledge Authentication Techniques”, International Journal of Computer Science and Security (IJCSS), 4(2), pp. 237 – 255, 2010.
2 J. Sarvaiya , S. Patnaik and H. Goklani, “Image Registration using NSCT and Invariant Moment”, International Journal of Image Processing (IJIP), 4(2), pp. 119 – 130, 2010.
 
 
 
1 Faculty of Cummins College Of Engineering For Women
 
2 TechRepublic
 
3 ZDNet
 
4 silicon.com
 
5 Cummins College of Engineering for Women, Pune
 
 
 
Radhika Bhagwat : Colleagues  
 
 
 
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