Multi-Layer Perceptron Neural Network Based Person Identification Using Appearance Based Facial Feature

著者

  • Md. Rabiul Islam Associate Professor Dept. of Computer Science & Engineering Rajshahi University of Engineering & Technology Rajshahi-6204, Bangladesh.
  • Rizoan Toufiq Lecturer Dept. of Computer Science & Engineering Rajshahi University of Engineering & Technology Rajshahi-6204, Bangladesh.

キーワード:

person identification、 appearance based facial feature、 principal component analysis、 Back-Propagation learning neural network

要旨

This paper deals with secure person identification system using Back-Propagation learning neural network algorithm where appearance based facial feature and Principal Component Analysis based dimensionality reduction technique have been used. To extract the appearance based facial features, Viola-Jones method has used as a face detector, Stam’s method of Active Shape Model has applied for detecting the facial edges and image pre-processing method has used for eliminating the background noises. For reducing the effect of uneven lighting from the facial images, contrast based edge detector has been used for this work. Principal Component Analysis based reduced facial feature vector are feed to Back-Propagation learning neural network algorithm to create the learned template which is finally used to classify the unknown facial pattern. To measure the performance of the proposed system, extended Yale Face Database has been used which focuses the superiority of the proposed appearance based facial feature for person identification system.Keywords: person identification, appearance based facial feature, principal component analysis, back-propagation learning neural network.

著者略歴

  • Md. Rabiul Islam、 Associate Professor Dept. of Computer Science & Engineering Rajshahi University of Engineering & Technology Rajshahi-6204, Bangladesh.
    Associate ProfessorDept. of Computer Science & EngineeringRajshahi University of Engineering & Technology, Rajshahi-6204, Bangladesh.
  • Rizoan Toufiq、 Lecturer Dept. of Computer Science & Engineering Rajshahi University of Engineering & Technology Rajshahi-6204, Bangladesh.
    LecturerDept. of Computer Science & EngineeringRajshahi University of Engineering & TechnologyRajshahi-6204, Bangladesh. <!-- @page { margin: 0.79in } P { text-indent: 0.2in; margin-bottom: 0.08in; direction: ltr; color: #000000; line-height: 95%; text-align: justify; widows: 2; orphans: 2 } P.western { font-family: "Times New Roman", serif; font-size: 10pt; so-language: en-US } P.cjk { font-family: "SimSun", "宋体"; font-size: 10pt; so-language: zh-CN } P.ctl { font-family: "Times New Roman", serif; font-size: 10pt; so-language: ar-SA } A:link { color: #000000; text-decoration: none } A.western:link { font-size: 8pt } A.cjk:link { font-size: 8pt } -->

ダウンロード

発行日

2014-05-05

巻号

巻 4 号 1 (2014)

セクション

Research Articles

ライセンス

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. ________________

_______________

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.