A Fingerprint Identification Approach using Neural Networks

1
P. Sreenivasa Moorthy
P. Sreenivasa Moorthy
3
Sreenivasa Moorthy
Sreenivasa Moorthy
1 JJT University

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GJCST Volume 14 Issue F5

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Today, because of the vulnerability of standard authentication system, law-breaking has accumulated within the past few years. Identity authentication that relies on biometric feature like face, iris, voice, hand pure mathematics, handwriting, retina, fingerprints will considerably decrease the fraud, so that they square measure being replaced by identity verification mechanisms. Among bioscience, fingerprint systems are one amongst most generally researched and used. it’s fashionable due to their easy accessibility. Moreover in this work the system modified to an adaptive system i.e intelligent by using neural networks.

9 Cites in Articles

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  3. (2001). 2001 IEEE Workshop on Signal Processing Systems. SiPS 2001. Design and Implementation (Cat. No.01TH8578).
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  5. (2012). International Journal of Advanced Computer Science and Applications.
  6. (2009). Social Science Bibliography, Arab Countries of the Middle East, 1955-1960. Unesco Middle East Science Cooperation Office, Cairo, 1961, 149 p.
  7. Singh Dayashankar,Dr,P Singh,Dr,R Shukla (2010). Fingerprint Recognition System supported Mapping\.
  8. Zhang Zhao Qijun,Zhang Lei,Luo David,Nan (2009). Direct Pore Matching for Fingerprint Reco gnition.
  9. Min Mar,Mar,Thein Yadana (2008). Intelligent Fingerprint Recognition System With applied mathematics And Geometrical Approach\.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

P. Sreenivasa Moorthy. 2014. \u201cA Fingerprint Identification Approach using Neural Networks\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 14 (GJCST Volume 14 Issue F5): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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v1.2

Issue date

December 31, 2014

Language

English

Experiance in AR

The methods for personal identification and authentication are no exception.

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The methods for personal identification and authentication are no exception.

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Today, because of the vulnerability of standard authentication system, law-breaking has accumulated within the past few years. Identity authentication that relies on biometric feature like face, iris, voice, hand pure mathematics, handwriting, retina, fingerprints will considerably decrease the fraud, so that they square measure being replaced by identity verification mechanisms. Among bioscience, fingerprint systems are one amongst most generally researched and used. it’s fashionable due to their easy accessibility. Moreover in this work the system modified to an adaptive system i.e intelligent by using neural networks.

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A Fingerprint Identification Approach using Neural Networks

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Sreenivasa Moorthy
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