A Minutia Based Fingerprint Recognition a A survey Paper

S.M.Riyazoddin

A Minutia Based Fingerprint Recognition a A survey Paper

S.M.Riyazoddin * §

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§ Jawaharlal Nehru Technological University, Hyderabad

A Minutia Based Fingerprint Recognition a A survey Paper

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Abstract

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. during this paper we tend to discuss the elaborated study of various gift implementation define strategies together with their comparative measures and result analysis thus as realize a brand new constructive technique for fingerprint recognition.

References

13 Cites in Article

Reference Format

Masayoshi Kamijo (1993). Classifying fingerprint images using neural network: deriving the classification state.
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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.

How to Cite This Article

S.M.Riyazoddin. 1970. "A Minutia Based Fingerprint Recognition a A survey Paper". Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 13 (GJCST Volume 13 Issue F7).

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GJCST Volume 13 Issue F7

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-F Classification I.5.0

Submission ReceivedDecember 9, 2012
Peer Review Double Blind
Handling Editor
Accepted January 2, 2013
Published January 15, 2013

Version of record

v1.2

Language

English

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Article Matrices

Total Score: 144

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Kakde Sachin, V. Anandam, S.M.Riazoddin, M.Janga Reddy (PhD/Dr. count: 0)

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Publish Date: 2013 01, Tue

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