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dc.contributor.authorGupta, Disha-
dc.contributor.authorSingh, Amit Kumar [Guided by]-
dc.description.abstractPersonal identification is to associate a particular individual with an identity. It plays a critical role in our society, in which questions related to identity of an individual such as “Is this the person who he or she claims to be?”, “Has this applicant been here before?”, “Should this individual be given access to our system?” “Does this employee have authorization to perform this transaction?” etc are asked millions of times every day by hundreds of thousands of organizations in financial services, health care, electronic commerce, telecommunication, government, etc. With the rapid evolution of information technology, people are becoming even more and more electronically connected. As a result, the ability to achieve highly accurate automatic personal identification is becoming more critical. Traditionally, passwords (knowledge-based security) and ID cards (token-based security) have been used to restrict access to systems. The major advantages of this traditional personal identification are that (i) They are very simple (ii)They can be easily integrated into different systems with a low cost.en_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectNoise removalen_US
dc.titleFingerprint Verification Systemen_US
dc.typeProject Reporten_US
Appears in Collections:B.Tech. Project Reports

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