Face Recognition System using Self-Organizing Feature Map and Appearance-Based Approach

Khin Moh Moh Than; Win Tun; Thaung Yin

Title:
Face Recognition System using Self-Organizing Feature Map and Appearance-Based Approach

Authors:
Thaung Yin | Khin Moh Moh Than | Win Tun

Cite This Article :

Thaung Yin | Khin Moh Moh Than | Win Tun "Face Recognition System using Self-Organizing Feature Map and Appearance-Based Approach" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5, August 2019, pp.1598-1603, URL: https://www.ijtsrd.com/papers/ijtsrd26691.pdf

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Abstract :
Face Recognition has develop one of the most effective presentations of image analysis. This area of research is important not only for the applications in human computer interaction, biometric and security but also in other pattern classification problem. To improve face recognition in this system, two methods are used: PCA (Principal component analysis) and SOM (Self-organizing feature Map).PCA is a subspace projection method is used compress the input face image. SOM method is used to classify DCT-based feature vectors into groups to identify if the subject in the input image is “present” or “not present” in the image database. The aim of this system is that input image has to compare with stored images in the database using PCA and SOM method. An image database of 100 face images is evaluated containing 10 subjects and each subject having 10 images with different facial expression. This system is evaluated by measuring the accuracy of recognition rate. This system has been implemented by MATLAB programming.

Keywords :
PCA (Principal component analysis), SOM (Self-organizing feature Map), DCT (discrete cosine transform)

Publication Details:

Unique Identification Number : IJTSRD26691

Published In : Volume-3 | Issue-5, August 2019

Page Number(s) : 1598-1603

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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