Department of Computer Science (PG)

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    CANCELABLE MULTIMODAL BIOMETRIC USER AUTHENTICATION SYSTEM WITH FUZZY VAULT
    (Srisakthi Institute of Engineering, 2016-01-09) Soruba sree S.R; 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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    BIOMETRIC TEMPLATE SECURITY USING NONINVERTIBLE AND DISCRIMINABLE CONSTRUCTIONS
    (VLB Janakiammal College for Engineering and Technology, 2010-01-23) Radha N; Pranitha R.S
    Biometric authentication is a technology that measure and analyzes human physical and behavioral characteristics for recognition and authentication to provide security. The main benefit of the biometric technology is that, it is more safe and comfortable than the traditional systems like password and tokens such as smart cards, magnetic stripe cards, photo ID cards, physical keys and can be lost, stolen, duplicated, or left at home. Cancelable biometrics may be a good approach to address the security and privacy concerns on biometric authentication. The security of cancelable biometrics lies on non-invertibility of the transformed templates. So the transforms should be noninvertible and the original template cannot be recovered. In the proposed work fuzzy vault scheme, Fuzzy Vault with Minutiae Descriptors, Irrevocable Cryptographic Key Generation from Cancelable Fingerprint Templates, steganography, cancelable iris biometrics, Palm print based Cancelable Biometric, mobile fingerprint template protection, secure authentication for fingerprint and face are reviewed and implementation is done to secure Biometric template using noninvertible and discriminable constructions.
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    A SURVEY OF BIOMETRIC RECOGNITION METHODS
    (Periyar University, Salem, 2009-03-11) Radha N; Shanthakumari S; Pranitha R.S
    Biometric authentication is a technology that measure and analyzes human physical and behavioral characteristics for recognition and authentication to provide security. The main benefit of the biometric technology is that, it is more safe and comfortable than the traditional systems like password and tokens such as smart cards, magnetic stripe cards, photo ID cards, physical keys and can be lost, stolen, duplicated, or left at home. Cancelable biometrics may be a good approach to address the security and privacy concerns on biometric authentication. Recognition of a person is used in so many real time applications. In this survey Biometric Recognition methods are collected and analysed.
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    A SURVEY ON APPROACHES TO IMPROVE QUALITY OF FINGERPRINT IMAGE AND TEMPLATE SECURITY
    (International Journal of Computer Science Engineering and Technology, 2014-11) Janani B; Radha N
    A biometric is a distinct biological trait that can be used to recognize a person. Fingerprints have been used for over a century and are the most widely used for user identification. Fingerprint identification is commonly employed in Forensic science to support criminal investigations and in biometric systems such as civilian and commercial identification devices. Fingerprint is the pattern of ridges and valley on the inner surface of a finger or a thumb. The low-quality fingerprint images used for feature extraction and matching will not produce efficient results. To deal with the various methods for enhancing low-quality fingerprints images are discussed. In addition to enhancement, the storage of fingerprint template is also an important issue. Because when the hacker steels the template from the database, it can be misused. To avoid this problem, various template security techniques are surveyed. In this paper various image quality enhancement techniques and template security techniques are reviewed in the literature.
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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.