OPTIMIZED BIOMETRIC SYSTEM BASED ON COMBINATION OF FACE IMAGES AND LOG TRANSFORMATION

Downloads

Downloads per month over past year

Sateesh Kumar, H.C. and Raja, K.B. and Venugopal, K.R. (2016) OPTIMIZED BIOMETRIC SYSTEM BASED ON COMBINATION OF FACE IMAGES AND LOG TRANSFORMATION. International Journal of Signal and Image Processing, 7 (2). pp. 57-72. ISSN 2207-970X

[img]
Preview
Text
logjournal.pdf

Download (665kB) | Preview
Official URL: https://10.5121/sipij.2016.7204

Abstract

The biometrics are used to identify a person effectively. In this paper, we propose optimised Face recognition system based on log transformation and combination of face image features vectors. The face images are preprocessed using Gaussian filter to enhance the quality of an image. The log transformation is applied on enhanced image to generate features. The feature vectors of many images of a single person image are converted into single vector using average arithmetic addition. The Euclidian distance(ED) is used to compare test image feature vector with database feature vectors to identify a person. It is experimented that, the performance of proposed algorithm is better compared to existing algorithms.

Item Type: Article
Uncontrolled Keywords: Biometric, Face recognition, log Transformation, ED, Fusion, Gaussian filter
Subjects: Faculty of Engineering > Computer Science & Information Science Engineering
Divisions: University Visvesvarayya College of Engineering > Department of Computer Science and Information Science Engineering
Depositing User: Ms. Shwetha A C
Date Deposited: 12 Oct 2021 11:03
Last Modified: 12 Oct 2021 11:03
URI: http://eprints-bangaloreuniversity.in/id/eprint/10115

Actions (login required)

View Item View Item