NEW APPROACH TOWARDS EFFICIENT BIOMETRIC SYSTEMS

Authors

  • Chander Kant

DOI:

https://doi.org/10.47839/ijc.10.2.741

Keywords:

Biometrics, identification, verification, minutiae points, singular points.

Abstract

Fingerprints possess two main types of features that are used for automatic fingerprint identification and verification: (i) Ridge and Furrow structure that forms a special pattern in the central region of the fingerprint and (ii) Minutiae details associated with the local ridge and furrow structure. In a traditional biometric recognition system, the biometric template is usually stored on a central server during enrollment. The candidate biometric template captured by the biometric device is sent to the server where the processing and matching steps are performed. The proposed work presents an approach to the processing time during fingerprint matching process in a Biometric System. The proposed work is based upon four major classifications of fingerprint, whorl, arch, left-loop and right-loop and is more efficient as compared with the existing system.

References

A. K. Jain, R. Bolle, S. Pankanti (eds). Biometrics: Personal Identification in Networked Society. Kluwer Academic, December 1998.

The Henry Classification System. Copyright © 2003 International Biometric Group.

A. K. Hrechak and J. A. McHugh. Automated Fingerprint Recognition using Structural Matching. Pattern Recognition, (23) 8 (1990).

American University of Beirut, Faculty of Engineering And Architecture, Department of Electrical and Computer Engineering, EECE 695 – Adaptive Filtering and Neural Networks Fingerprint Identification – project 2.

L. Hong. Automatic Personal Identification Using Fingerprints. PhD Thesis, Michigan State University, 1998.

Anil Jain Sharath Pankanti. Fingerprint Classification and Matching. 2004.

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Published

2011-12-20

How to Cite

Kant, C. (2011). NEW APPROACH TOWARDS EFFICIENT BIOMETRIC SYSTEMS. International Journal of Computing, 10(2), 108-113. https://doi.org/10.47839/ijc.10.2.741

Issue

2011, Volume 10, Issue 2

Section

Articles

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