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Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/2283
Title: Fingerprint Recognition Using Level 3 Features
Authors: Kesharwani, Neha
Ugale, S.P.
Keywords: Fingerprint recognition
high-resolution fingerprints
Level 3 features
extended features set
pores
ridges contour,
string distance based matching
Issue Date: 1-Jun-2014
Abstract: Fingerprints are a great source for identification of individuals. It is one of the oldest form of biometric identification. Fingerprint friction ridge details are generally described in a hierarchical order at three different levels,namely,Level1(pattern),Level2(minutia points),and Level 3(Pores and ridges contour) Although latent print examiners frequently take advantage of Level 3 features to assist in identification, Automated Fingerprint Identification Systems (AFIS) currently rely only on Level 1 and Level 2 features. Level 3 features carry significant discriminatory information. In our project we have presented an automated Fingerprint recognition system which uses level 3 features in combination with level 2 features which makes a matching system more accurate, efficient and beneficial.
URI: http://192.168.3.232:8080/jspui/handle/123456789/2283
ISSN: 2319-5940
Appears in Collections:Electronics OR E & TC

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