A Succession Multi-Modal Biometric Identification Hypothesis

Authors(4) :-SSP Gopal CH, Suresh Lawrence D, Siva R, Pandikumar K

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.

Authors and Affiliations

SSP Gopal CH
Dhanalakshmi College of Engineering, Chennai, Tamilnadu, India
Suresh Lawrence D
Dhanalakshmi College of Engineering, Chennai, Tamilnadu, India
Siva R
Dhanalakshmi College of Engineering, Chennai, Tamilnadu, India
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

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Publication Details

Published in : Volume 1 | Issue 2 | March-April 2015
Date of Publication : 2015-04-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 178-182
Manuscript Number : IJSRSET152267
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

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.
Journal URL : http://ijsrset.com/IJSRSET152267

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