Multi-Metric Based Face Identification with Multi Configuration LBP Descriptor

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Author(s)

Djeddou Mustapha 1,* Rabai Mohammed 2 Temmani Khadidja 3

1. Communication system laboratory, Military Polytechnic School, Algiers, Algeria.

2. Image & Signal Processing Group, National Polytechnic School, El Harrach, Algeria

3. Electronics Department, Military Polytechnic School, Algiers, Algeria

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2012.01.08

Received: 20 Oct. 2011 / Revised: 24 Nov. 2011 / Accepted: 22 Dec. 2011 / Published: 8 Feb. 2012

Index Terms

Face identification, Local Binary Pattern, Chi-squared metric, Log-likelihood metric, scores level fusion.

Abstract

This paper deals with the performance improvement of a mono modal face identification. A statistical study of various structures of the LBPs (Local Binary Patterns) features associated to two metrics is performed to find out those committing errors on different subjects. Then, during the identification stage, these optimal variants are used, and a simple score level fusion is adopted. The score fusion is done after min-max normalization. The main contribution of this paper consists in the association of multiple LBP schemes with different metrics using simple fusion operation. The overall identification rating up to 99% using AT&T database is achieved.

Cite This Paper

Djeddou Mustapha,Rabai Mohammed,Temmani Khadidja,"Multi-Metric Based Face Identification with Multi Configuration LBP Descriptor", IJIGSP, vol.4, no.1, pp.57-63, 2012. DOI: 10.5815/ijigsp.2012.01.08 

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