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An Analysis of Biometric Transformative Schemes

K. Kanagalakshmi, K. Lakshmipriya

Abstract


There is a complexity in creating a secure Biometric system is protecting the templates of the user stored in Central Database. If there is any Compromise in saving templates then it will cause serious problem in security. The Cancellable Biometric is one of the safest methods used to store the template without duplication. In order to avoid the theft of iris biometric pattern, it is very must to design irrevocable and non- invertible transformation to create cancellable biometric template. In cancellable biometric many transformation techniques are used. In this attempt, two transformation techniques, i.e., Bio-hashing and Huffman Encoding with DCT are taken for comparative study in creating cancellable iris Biometric.


Keywords


Biometrics, Cancelable Biometric Templates, BioHashing, Huffman Encoding & DCT.

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References


Dr.E.Chandra,& Ms.K.Kanagalakshmi ,”Cancelable Biometric Template Generation and Protection Schemes: a Review”., 978-1-4244-8679-3/11/©2011 pp.15-20.

Nalini K. Ratha, and Jonathan H. Connell ,”Cancelable Iris Biometric”. IBM Watson Research Center, 978-1-4244-2175-6/08/©2008 IEEE

Sanjay Kanade, Dijana Petrovska-Et.Al. “Cancelable Iris Biometrics and Using Error Correcting Codes to Reduce Variability in Biometric Data”. IEEE, 978-1-4244-3991-2009,pp 120-127.

Alessandra Lumini,et.al “Improved BioHashing For Human Authentication”,Pattern Recognition,Volume 40 Issue 3,March 2007,Pages 1057-1065.

Vishal M. Patel, Nalini K. Ratha, ET.AT..”Cancelable Biometrics: A Review”. IEEE Signal Processing Magazine, 32 (3), 53-69.

Kenta Takahashi.”Cancelable Biometrics With Provable Security And Its Application To Finger Print Verification”. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Volume E94.A, Issue 1, pp. 233-244 (2011).

Nalini K. Ratha, ,Sharat Chikkerur.EtAl.” Generating Cancelable Fingerprint Templates”.IEEE Transactions On Pattern Analysis And Machine Intelligence, VOL. 29, NO. 4, APRIL 2007

Emanuela Piciucco, Emanuele Maiorana,Et.Al..”Cancelable Biometrics for Finger Vein Recognition”Section of Applied Electronics, Department of Engineering, Roma, Italy 978-1-4244-2175-6/08/©2008 IEEE

Bismita Choudhury, Patrick .Et.Al.”Cancelable Iris Biometrics Based on Data Hiding Schemes”. 2016 IEEE Student Conference on Research and Development (SCOReD) 9781-5090-2948-8/16©2016 IEEE

L. Masek, “Recognition of Human Iris Patterns for Biometric.Identification”. The University of Western Australia, Perth, 2003.

Y. J. Chang, Z. Wende, and T. Chen, “Biometrics-based cryptographic key generation," IEEE Interna-tionalConferenceon Multimedia and Expo, vol. 3,pp. 2203-2206, 2004

J. Hammerle,Uhrl,E.Pschernig,A.Uhl, ”Cancelable Iris Biometrics using block Re-Mapping And Image Warping”,Springer Lecture Noted on Computer Science Information Security,Vol.5735,pp.135-142

J.K.Pillai,V.M.Patel,R.Chellappa,N.K.Ratha,”Sectored Random Projection for Cancelable Iris Biometrics”,Proc. Of ICASSP,PP1838-1841,2010

Rathgeb, F. Breitinger and C. Busch. J. K. Pillai, Et.Al.“ Alignment-Free Cancelable Iris Biometric Templates based on Adaptive Bloom Filters”.. In Proc. IEEE Int’l Conf. on Acoustics Speech and Signal Processing, pages 1838–1841. IEEE, 2010.


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