Fingerprint synthesis toward construct enhanced Authentication System using low resolution Webcam

Citation

Islam, Md. Rajibul and Sayeed, Md. Shohel and Samraj, Andrews (2008) Fingerprint synthesis toward construct enhanced Authentication System using low resolution Webcam. In: International Conference on Data Management (ICDM2008), 25-26 Feb 2008, IMT Ghaziabad, India.

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Abstract

Synthesis of several biometrics to improve the authentication performance has received significant attention over recent years due to a rising demand for reliable user identity authentication system. In this paper we present an approach to synthesis same biometrics because during capturing fingerprint it is not confirm that all minutiae of the whole fingerprint will be obtained in every ingestion. It is very essential to obtain whole minutiae from a fingerprint when we are using minutiae matching technique for fingerprint authentication. This paper introduces an Enhanced Authentication System using fingerprint synthesis by Projection Incorporated Subspace based on PCA (Principal Component Analysis). We have used a low resolution webcam to capture fingerprint images. So, an improved fingerprint image enhancement approach is presented. In the proposed approach, the traditional minutiae detection technique has been improved using fingerprint synthesis by Projection Incorporated Subspace based on PCA. The paper presents an analysis of why fingerprint synthesis approach is well suited for fingerprint enrolment, especially for the performance improvement of the minutiae extraction algorithm. Experimental results show that our approach is insensate to low resolution as well as with effectual performance and very effective for minutiae detection to improve authentication system.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science > QA76.75-76.765 Computer software
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Users 28 not found.
Date Deposited: 04 May 2010 07:25
Last Modified: 04 May 2010 07:25
URII: http://shdl.mmu.edu.my/id/eprint/291

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