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Cooperative biometric multimodal approach for identification

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Possibly the ultimate valuable utility of accurate personal detection is, providing security to authorized access systems from awful security attacks. Within all the currently present biometric schemes, fingerprint identification is most widely used from past few decades. Fingerprint identification scheme is very popular but there are some complexities in recognizing the patterns. Like: Greater dislocation or rotation in image which can causes overlap between fingerprint and create problem during matching, Distortion in fingerprint image, Skin condition and amount of pressure at the time of enrollment and matching, Feature extraction problems. This research paper proposes a cooperative biometric multimodal for fingerprint identification based on minutiae matching by addressing above mentioned problems. This research paper proposes a design a fingerprint identification technique which is expected to give better accuracy and acceptance rate. Main aim of this research work is to decrease False Acceptance Rate (FAR).

Original languageEnglish
Title of host publicationInformation and Communication Technology for Intelligent Systems, ICTIS 2017
EditorsSuresh Chandra Satapathy, Amit Joshi
PublisherSpringer Science and Business Media Deutschland GmbH
Pages13-19
Number of pages7
ISBN (Print)9783319636726
DOIs
Publication statusPublished - 2018
Event2nd International Conference on Information and Communication Technology for Intelligent Systems, ICTIS 2017 - Ahmedabad, India
Duration: 25-03-201726-03-2017

Publication series

NameSmart Innovation, Systems and Technologies
Volume83
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference2nd International Conference on Information and Communication Technology for Intelligent Systems, ICTIS 2017
Country/TerritoryIndia
CityAhmedabad
Period25-03-1726-03-17

All Science Journal Classification (ASJC) codes

  • General Decision Sciences
  • General Computer Science

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