An Approach of Likelihood Ratio Score Fusion for Appearance and Shape based Face Recognition

Authors

  • Md. Rabiul Islam

Abstract

Abstract
This paper deals with an approach of likelihood ratio based score fusion technique where appearance and shape based facial features have been used to enhance the efficiency of existing face recognition system. Active Shape Model (ASM) has been used to extract the appearance and shape based facial features. Two different types of features have been used in this work in such a way that when the appearance based feature contains noise then shape based feature retains its efficiency and the overall performance will be maintained in a satisfied level. Same thing will be happened when the shape based feature degrades with more noise compared with appearance based feature. Hidden Markov Model (HMM) has been applied for learning and testing model for the proposed face recognition system. Likelihood ratio of each appearance and shape modality have been measured using reliability measurement technique and log likelihood ratio scores are fused to evaluate the final face recognition performance. To measure the performance of the proposed system, Olivetti Research Laboratory (ORL) database has been used with addition of various noises at different level. Experimental results and performance analysis show the superiority of the proposed face recognition system.

Keywords: likelihood score fusion, appearance and shape based facial features, active shape model, principal component analysis, hidden markov model

Downloads

Published

2019-07-09

Issue

Vol. 4 No. 3 (2013)

Section

Articles

License

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

  • I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
  • I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
  • I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
  •  I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. ________________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.