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Face Recognition using Extended Kalman Filter based Machine Learning

by Kanchan Singh, Ashok K Sinha
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 66 - Number 16
Year of Publication: 2013
Authors: Kanchan Singh, Ashok K Sinha
10.5120/11172-6461

Kanchan Singh, Ashok K Sinha . Face Recognition using Extended Kalman Filter based Machine Learning. International Journal of Computer Applications. 66, 16 ( March 2013), 43-50. DOI=10.5120/11172-6461

@article{ 10.5120/11172-6461,
author = { Kanchan Singh, Ashok K Sinha },
title = { Face Recognition using Extended Kalman Filter based Machine Learning },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 66 },
number = { 16 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 43-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume66/number16/11172-6461/ },
doi = { 10.5120/11172-6461 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:22:37.442694+05:30
%A Kanchan Singh
%A Ashok K Sinha
%T Face Recognition using Extended Kalman Filter based Machine Learning
%J International Journal of Computer Applications
%@ 0975-8887
%V 66
%N 16
%P 43-50
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In recent years there has been a growing concern by researchers in developing algorithm for face recognition. The proposed work addresses the problem of face recognition in still images using Extended Kalman Filter for machine learning. The algorithm comprises of designing a feature vector which has discrete wavelet coefficients of the face and, a coefficient representing parameters of the face. Global features of the face are captured by wavelet coefficients and the local feature of the face is captured by facial parameter. The coefficients of the feature vector are used as inputs to the recurrent neural network using EKF algorithm for training. . The proposed algorithm has been tested on various real images and its performance is found to be quite satisfactory when compared with the performance of conventional methods of face recognition such as the Eigen-face method.

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Index Terms

Computer Science
Information Sciences

Keywords

Principal Component Analysis (PCA) Eigen-Face Method Haar Wavelet Extended Kalman Filter (EKF) Discrete Wavelet Transform (DWT) Discrete Cosine Transformaion (DCT) Wavelet Facial Parameter Recurrent Neural Network (RNN) Artificial Neural Network (ANN)

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