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A Succession Multi-Modal Biometric Identification Hypothesis


SSP Gopal CH, Suresh Lawrence D, Siva R, Pandikumar K
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Multibiometrics is the combination of one or more biometrics (e.g., Fingerprint, Iris, and Face). Researchers are focusing on how to provide security to the system, the template which was generated from the biometric need to be protected. The problems of unimodal biometrics are solved by multibiometrics. The main objective is to provide a security to the biometric template by generating a secure sketch by making use of multibiometric cryptosystem and which is stored in a database. Once the biometric template is stolen it becomes a serious issue for the security of the system and also for user privacy. The drawbacks of existing system include accuracy of the biometric need to be improved and the noises in the biometrics also need to be reduced. The proposed work is to enhance the security using multibiometric cryptosystem in distributed system applications like e-commerce transactions, e-banking and ATM. A practically viable multi-biometric recognition system should not only be stable, robust and accurate but should also adhere to real-time processing speed and memory constraints. One of the key features of the author’s framework is that each classifier in the ensemble can be designed to use a different modality thus providing the advantages of a truly multimodal-biometric recognition system. The proposed approach presents a very low degree of complexity, which makes it suitable for real-time applications. The performance of the proposed system is evaluated both for single and multimodalities to demonstrate the effectiveness of the approach.

SSP Gopal CH, Suresh Lawrence D, Siva R, Pandikumar K

Selection/Binning Ridge, Finger Print Feature Extraction, Finger Image/Preprocessing, Grayscale images, thresholding, Edge Detection, Pupil Detection, Canny Edge Detection, Fused Random Key, Normalization, Gray scale, Hough transforms, Ridge detection, Hamming distance, Feature extraction

'[1] S. Prabhakar, S. Pankanti, and A. K. Jain, “Biometric recognition: Security and privacy concerns,” IEEE Security Privacy, vol. 1, no. 2, pp. 33–42, Mar./Apr. 2003.
[2] T. Matsumoto, “Artificial irises: Importance of vulnerability analysis,” in Proc. AWB, 2004.
[3] J. Galbally, C. McCool, J. Fierrez, S. Marcel, and J. Ortega-Garcia, “On the vulnerability of face verification systems to hill-climbing attacks,” Pattern Recognit., vol. 43, no. 3, pp. 1027–1038, 2010.
[4] A.K. Jain, K. Nandakumar, and A. Nagar, “Biometric template security,” EURASIP J. Adv. Signal Process., vol. 2008, pp. 113–129, Jan. 2008.
[5] J. Galbally, F. Alonso-Fernandez, J. Fierrez, and J. Ortega-Garcia, “A high performance fingerprint liveness detection method based on quality related features,” Future Generat. Comput. Syst., vol. 28, no. 1, pp. 311–321, 2012.

Publication Details

Published in : Volume 1 | Issue 2 | March-April - 2015
Date of Publication Print ISSN Online ISSN
2015-04-25 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
178-182 IJSRSET152267   Technoscience Academy

Cite This Article

SSP Gopal CH, Suresh Lawrence D, Siva R, Pandikumar K, "A Succession Multi-Modal Biometric Identification Hypothesis", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 2, pp.178-182, March-April-2015.
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