Fingerprint to Face Reconstruction Using Neural Network

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creativework.keywordsComputer vision, Finger prints recognition, Biometric systems, Deep learning, Convolution neural network, augmentation
dc.contributor.advisorDr. Md Shahriar Karim
dc.contributor.authorMd Afridi Hasan
dc.contributor.authorSamiur Rahman Prapon
dc.contributor.authorMonjura Maula Anik
dc.contributor.id1712520042
dc.contributor.id1712666642
dc.contributor.id1530058642
dc.coverage.departmentElectrical and Computer Engineering
dc.date.accessioned2025-12-17
dc.date.accessioned2025-12-17T05:56:46Z
dc.date.available2025-12-17T05:56:46Z
dc.date.issued2021-04-30
dc.description.abstractDetermining a person’s identity is one of the most important challenges to address when constructing multi-accessible structures, such as computer apps, vehicles or actual buildings. A system that protects secret information or valuable objects places high-security expectations on identification. This project provides a novel paradigm for generating one biometric element from another based on neural artificial networks. An intelligent system was devised and created to assess the correlations between fingerprints and faces, as well as to prototype and increase the presence of relationships. It can be used in biometrics, information security, access control, law enforcement, smart cards, and surveillance systems, among other things.
dc.description.degreeUndergraduate
dc.identifier.cd600000286
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/1537
dc.language.isoen_US
dc.publisherNorth South University
dc.rights@ NSU Library
dc.titleFingerprint to Face Reconstruction Using Neural Network
dc.typeProject
oaire.citation.endPage35
oaire.citation.startPage1
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