A Fingerprint Representation Technique based on Minutiae Quadrilateral Structure

dc.contributor.advisorJAIN, KALPANA
dc.contributor.authorMENARIA, LAXMI
dc.date.accessioned2019-05-03T04:11:19Z
dc.date.available2019-05-03T04:11:19Z
dc.date.issued04-10-18
dc.descriptionFingerprint, Representation Technique based Minutiae, Quadrilateral Structureen_US
dc.description.abstractAs the electronic banking, e-commerce and smartcard are widely used in our daily lives and the need of increased security requirement in various applications ranging from international border crossing to security information in the databases, automatic recognition of persons has become a very important topic. A reliable identity management system is needed in wide range of applications which include passports, cellular telephones, ATM, and driver licenses. Traditional methods of person identification are unable to satisfy the security requirements of electronically connected society because PINs may be forgotten or guessed by an imposter and the tokens may be lost or stolen. Biometric systems are utilized broadly in many applications to recognize persons reliably. Biometric recognition automatically recognises a person using the physiological and behavioural characteristics. Biometric recognition provides a natural and reliable solution for the problem of identity recognition in identity management systems. There are several biometric modalities developed such as iris, face, signature, and palmprint which are used in the current governmental and civil applications. Among all the biometric modalities, fingerprint is a popular biometric trait which is used extensively in several applications for person authentication due to its ease of capture, permanence distinctiveness. As the use of biometric data is increasing in various applications, the concerns about the security and privacy of biometric data is also increasing. A biometric is permanently associated with a human; if this biometric data is compromised it cannot be revoked or replaced. Therefore, biometric template protection schemes are required to secure the original biometric data. Fingerprint samples exhibits intra-class variations like rotation, translation and non linear deformation at each fingerprint image acquisition. Due to large intra-class variations at each fingerprint image acquisition, fingerprint template protection is not an easy task. One solution to reduce intra-class variation is to use the local information provided by the fingerprint minutiae points such as local distance between two points and local angles which are invariant with respect to fingerprint translation and rotation. This thesis is focused on proposing a new fingerprint representation using the information provided by local quadrilateral structure to obtain a fixed length and alignment free 74 representation. We propose a fingerprint representation using the local neighbourhood information of a minutia point. We construct quadrilateral structure using the nearest neighbours of each minutia point and extract invariant features from these quadrilaterals. The extracted features are quantised and mapped to a predefined 3D array. By sequentially visiting the cells of 3D array, a fixed length 1D bit string is generated. The bit string is applied with DFT to generate a complex vector and the complex vector is multiplied with a random matrix generated by a user’s key, to generate final cancellable template. The proposed method FS_QUAD is tested on FVC 2002 databases. We compared our results with the two existing methods FS_INCIR and FS_AVGLO and results show satisfactory performance.en_US
dc.identifier.citationMenaria, L. AND jAIN , Ken_US
dc.identifier.urihttp://krishikosh.egranth.ac.in/handle/1/5810101722
dc.keywordsFingerprint, Representation Technique based Minutiae, Quadrilateral Structureen_US
dc.language.isoenen_US
dc.pages127en_US
dc.publisherMPUAT, Udaipuren_US
dc.research.problemFingerprint, Representation Technique based Minutiae, Quadrilateral Structureen_US
dc.subComputer Engineeringen_US
dc.subjectnullen_US
dc.themeQuadrilateral Structureen_US
dc.these.typeM.Tech.
dc.titleA Fingerprint Representation Technique based on Minutiae Quadrilateral Structureen_US
dc.typeThesisen_US
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