International Journals
Permanent URI for this collectionhttps://dspace.psgrkcw.com/handle/123456789/157
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Item A SURVEY ON FUSION TECHNIQUES FOR MULTIMODAL BIOMETRIC IDENTIFICATION(International Journal of Innovative Research in Computer and Communication Engineering, 2015-01) Sorubasree S.R; Radha NBiometric is the science and technology of measuring and analyzing biological data of human body, extracting a feature set from the acquired data and comparing this set against to the template set in the database. Biometric systems based on single source of information are called unimodal biometric system. The performance of unimodal system is affected by noisy sensor data and non-universality. Problems raised in the unimodal system can be resolved using multimodal biometric. Multimodal biometrics can be achieved through a fusion of two or more images, where the resultant fused image will be more secured. This paper discusses various fusion techniques that are used in multimodal biometrics.Item PALMPRINT AND IRIS BASED AUTHENTICATION AND SECURE KEY EXCHANGE AGAINST DICTIONARY ATTACKS(International Journal of Computer Applications, 2010-12) Tamilselvi P; Radha NThe Multimodal Biometric based user authentication systems are highly secured and efficient to use and place total trust on the authentication server where biometric verification data are stored in a central database. Such systems are prone to dictionary attacks initiated at the server side. In this paper, we propose an efficient approach based on multimodal biometrics (Palmprint and Iris) based user authentication and key exchange system. In this system, texture properties are extracted from the palmprint and iris images are stored as encrypted binary template in the server’s database, to overcome the dictionary attacks mounted by the server. The image processing techniques are used to extract a biometric measurement from the palmprint and iris. During login procedure the mutual authentication is done between the server and user and a symmetric key is generated on both sides, which could be used for further secure communication between them. Thus meet-in-the middle attack that happens between the user and the server can also be overcome. This system can be directly applied to strengthen existing password or biometric based systems without requiring additional computation.Item MULTIMODAL BIOMETRICS BASED AUTHENTICATION AGAINST DICTIONARY ATTACKS((IJCSE) International Journal on Computer Science and Engineering, 2010-12) Tamilselvi P; Radha NThe Multimodal Biometric based user authentication systems are highly secured and efficient to use and place total trust on the authentication server where biometric verification data are stored in a central database. Such systems are, prone to dictionary attacks initiated at the server side. In this paper, we propose an efficient approach based on multimodal biometrics (Iris and fingerprint) based user authentication and key exchange system. In this system, minutiae points and texture properties are extracted from the fingerprint and iris images are stored in the encrypted form in the server’s database, to overcome the dictionary attacks mounted by the server. The image processing techniques are used to extract a biometric measurement from the fingerprint and iris. During login procedure the mutual authentication is done between the server and user and a symmetric key is generated on both sides, which could be used for further secure communication between them. Thus meet-in-the middle attack that happens between the user and the server can also be overcome. This system can be directly applied to strengthen existing password or biometric based systems without requiring additional computation.