Fingerprint Identification

Kuntal Barua; Samayita Bhattacharya; Dr. Kalyani Mali

Fingerprint Identification

Kuntal Barua * § M-Tech, B-Tech

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Samayita Bhattacharya

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Dr. Kalyani Mali

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§ University of Kalyani

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Abstract

Fingerprint identification is one of the most popular and reliable personal biometric identification methods. This paper describes an on-line fingerprint identification system consisting of image acquisition, edge detection, thinning, feature extractor and classifier. The preprocessing part includes steps to acquire binarized and skeletonized ridges, which are needed for feature point extraction. Feature points (minutia) such as endpoints, bifurcations, and core point are then extracted, followed by false minutia elimination. Human fingerprints are rich in details called minutiae, which can be used as identification marks for fingerprint verification. The goal of this project is to develop a complete system for fingerprint identification.

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

Kuntal Barua, Samayita Bhattacharya, Dr. Mali. 1970. "Fingerprint Identification". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 6).

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GJCST Volume 11 Issue 6

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST Classification I.5.4

I.4.6

Submission ReceivedMarch 1, 2011
Peer Review Double Blind
Handling Editor
Accepted March 22, 2011
Published April 2, 2011

Version of record

v1.2

Issue date

April 17, 2011

Language

English

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Article Matrices

Total Score: 148

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Kuntal Barua, Samayita Bhattacharya, Dr. Kalyani Mali (PhD/Dr. count: 1)

View Count (all-time): 204

Total Views (Real + Logic): 4540

Total Downloads (simulated): 204

Publish Date: 2011 04, Sat

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Total Views: 4.5K

Total Downloads: 204

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