A Novel Approach to Address Sensor Interoperability Using Gabor Filter

Author:

Bhatia Neha1,Himani Himani2,Kant Chander1

Affiliation:

1. Department of Computer science and Application, Kurukshetra University, Kurukshetra, India

2. Doon Valley Institute of Engineering and Technology, Karnal, India

Abstract

Biometric authentication using fingerprint is one of the unique and reliable method of verification processes. Biometric System suffers a significant loss of performance when the sensor is changed during enrollment and authentication process. In this paper fingerprint sensor interoperability problem is addressed using Gabor filter and classifying images into good and poor quality. Gabor filters play an important role in many application areas for the enhancement of various types of fingerprint images. Gabor filters can remove noise, preserve the real ridges and valley structures, and it is used for fingerprint image enhancement. Experimental results on the FVC2004 databases show improvements of this approach.

Publisher

Oriental Scientific Publishing Company

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference22 articles.

1. R Raghavendra, Rao Ashok, and G Hemantha Kumar, “Multimodal biometric score fusion using gaussian mixture model and monte carlo method”, Journal of Computer Science and Technology, 25(4):771–782, 2010.

2. CrossRef

3. Renu Bhatia,“Biometrics and face recognition techniques,” International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE),vol.3,issue 5, pp. 93-99, May 2013.

4. Arun Ross, Chair Lawrence Hornak, Xin Li, “Facilitating Sensor Interoperability and Incorporating Quality in Fingerprint Matching Systems”, Lane Department of Computer Science and Electrical Engineering, November 2014

5. L. Shen, A. Kot, and W. Koo, “Quality measure of fingerprint images,” in Audio – and Video-based Biometric Person Authentication (AVBPA), 2001, pp. 266–271.

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