Department of Computer Science (PG)

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    SECURING IRIS AND FINGERPRINT TEMPLATES USING FUZZY VAULT AND SYMMETRIC ALGORITHM
    (Karpagam College of Engineering, Coimbatore jointly with CSI and IEEE, 2013-01-05) Sowkarthika S; Radha N
    The important aspect of all verification system is authentication and security. This aspect necessitates the development of a method that ensures user security and privacy. The traditional methods such as tokens and passwords provide security to the users. Uncertainly, the attackers can easily compromise these techniques. In recent years, the combination of biometrics and cryptography techniques has been proved as a efficient way to achieve security. The important feature of using biometric template is that it cannot be exploit by an unauthorized user. Most commonly used biometric features are iris, retina, fingerprint, face, palmprint, hand geometry, voice and so on. Fuzzy vault is the concept which uses the combination of biometrics and cryptographic key generation technique. This fuzzy vault act as a additional layer of security. This paper proposes a biometric verification system investigating the combined usage of multimodal biometric features and fuzzy vault scheme. This approach uses of fingerprint and iris in order to provide higher accuracy rate. Experiments were conducted to investigate the performance of the proposed system in ensuring the user security and privacy.
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    CANCELABLE MULTIMODAL BIOMETRIC AUTHENTICATION SYSTEM WITH DISTORTION ALGORITHM
    (International Journal for Research in Technological Studies, 2015-08) Janani B; Radha N
    Biometrics refers to authentication techniques that rely on humans physical and behavioral characteristics that can be automatically checked. Biometric based authentication system provides robust security and ease of use than conventional methods of verification system. Multimodal biometric system is one of the major areas of study identified with large applications in recognition system. Unimodal biometric systems challenge with a wide variety of problems such as noisy data, Intra-class variations, non-universality, and spoof attacks. Some of these limitations can be solved in multimodal biometric system. In proposed work, face and fingerprint biometric traits are used for multimodal biometric authentication system. Biometric traits are transformed using distortion algorithm. After the transformation processes pre-processing of images are done to improve the clear visibility of images. The extractions of minutiae feature from fingerprint are achieved using Crossing Number concept and the face features are extracted using the Local Binary Pattern algorithm. To combine both the face and fingerprint features feature level fusion is used. In order to provide additional security to the proposed work the fuzzy vault is introduced by adding duplicate values and having a secret key to lock and unlock the system. Fuzzy vault and distortion acts as an additional layer of security in multimodal biometric user authentication system.
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    CANCELABLE TEMPLATE GENERATION BASED ON IMPROVED QUALITY FINGERPRINT IMAGE FOR PERSON AUTHENTICATION
    (International Journal of Computer Sciences & Engineering, 2015-01) Janani B; Radha N
    Biometric based authentication system provides robust security and ease of use than conventional methods of verification system. Among various biometrics namely iris, face and gait recognition, Fingerprint recognition has been extensively used by several organizations for recognition and authentication purpose because of its low cost, usability and reliable performance. However, the performance of fingerprint identification techniques is extensively depending on the quality of the input fingerprint images. Due to the context of the image-acquisition process, most of the fingerprint images are found to be low or lack in quality. By concerning privacy issues, these types of low-quality fingerprint templates are easily accessible by intruders, thereby lacks the security. To address this issue, the present work proposes quality enhanced, secured biometric template which simultaneously combines the quality enhancement and cancellable template generation techniques for robust authentication purpose. The fingerprint quality can be improved by means of two-phase enhancement technique, learns the acquired input image by enhancing spatial and frequency domain of image respectively. After that, the cancellable fingerprint templates are generated by means of transforming the quality enhanced fingerprint minutiae distortedly by using Distortion Transformation. Experimental results show that the proposed algorithm efficiently holds various input image contexts and attains improved results in terms of quality and security when compared with some state-of-the-art methods, and thus improves the fingerprint-authentication systems performance.
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    FUSION OF IRIS AND RETINA USING RANK-LEVEL FUSION APPROACH
    (International Journal of Computer Technology and Application, 2011) Kavitha A; Radha N
    Personal identification and authentication is difficulty in all the systems. Shared secrets like Personal Identification Numbers or Passwords and key devices such as Smart Cards are not presently sufficient in few situations. These traditional tokens-based systems may be easily stolen or lost. Biometrics is the only way of improving the capability to recognize the persons according to the physiological or behavioral features. In many real-world applications, unimodal biometric system suffers from some limitations of noise in sensed data, intra-class variation, inter-class similarities, non-universality and spoof attacks. Multibiometric systems seek to alleviate some of these problems by consolidating the evidence obtained from different sources. These systems help to achieve an increase in performance. This paper focused on developing a multimodal biometrics system, which uses biometrics such as iris and retina. Fusion of biometrics is performed by means of rank level fusion. The ranks of individual matchers are integrated using the borda count, and logistic regression approaches. The developed multimodal biometric system utilizes and Fisher’s Linear Discriminant (FLD) and Principal Component Analysis (PCA) methods for individual matchers (Iris and Retina) identification. The features from the biometrics are obtained by using the Fisher face. The experimental result shows the performance of the proposed multimodal biometrics system.
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    PALMPRINT AND IRIS BASED AUTHENTICATION AND SECURE KEY EXCHANGE AGAINST DICTIONARY ATTACKS
    (International Journal of Computer Applications, 2010-12) Tamilselvi P; Radha N
    The 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.
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    MULTIMODAL BIOMETRICS BASED AUTHENTICATION AGAINST DICTIONARY ATTACKS
    ((IJCSE) International Journal on Computer Science and Engineering, 2010-12) Tamilselvi P; Radha N
    The 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.
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    SECURING RETINA FUZZY VAULT SYSTEM USING SOFT BIOMETRICS
    (Global Journal of Computer Science and Technology, 2010-09) N, Radha; S, Karthikeyan; P, Anupriya
    The major concern of almost all the verification system is user authentication and security. This necessitates the development of a mechanism that ensures user security and privacy. A lot of research has been carried on this developing field and numerous techniques have been proposed earlier in literature. These traditional methods use tokens and passwords to provide security to the users. Uncertainly, it can be easily compromised by attackers and therefore it is significant to design verification system that ensures authentication. In recent years, technology has turned in favor of combining soft biometrics and cryptographic key generation technique. The principal feature of using soft biometric template is that it cannot be easily revoked by any unauthorized user. Most commonly used soft biometric features are iris, retina, face, fingerprint, voice and so on. Fuzzy vault is the framework which comprises of the combination of soft biometrics and cryptographic key generation technique. This fuzzy vault acts as an additional layer of security. This overcomes the limitation met by a biometrics system when implemented individually. This paper proposes a biometric verification system investigating the combined usage of soft biometrics features hardened by fuzzy vault scheme. This approach uses retina as a soft biometric since it is capable of providing best results. Experiments were conducted to investigate the performance of the proposed authentication system in ensuring the user security and privacy.