A Feature Vector Compression Approach for Face Recognition using Convolution and DWT

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY

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Title A Feature Vector Compression Approach for Face Recognition using Convolution and DWT
 
Creator Sagar, Ganapathi
Y Barker, Savita
Raja, K B
Babu, K Suresh
K R, Venagopal
 
Subject Biometrics; face recognition; DWT; convolution; vector compression
 
Description The biometric identification of a person using face trait is more efficient compared to other traits as the co-operation of a person is not required. In this paper, we propose a feature vector compression approach for face recognition using convolution and DWT.The one level DWT is applied on face images and considered only LL band. The normalized technique is applied on LL sub band to reduce high value coefficients into lower range of values ranging between Zero and one. The novel concept of linear convolution is applied on original image and LL band matrix to enhance quality of face images to obtain unique features. The Gaussian filter is applied on the output of convolution block to reduce high frequency components to generate fine-tuned feature vectors. The numbers of feature vectors of many samples of single person are converted into a single vector which reduces number of features of each person. The Euclidean distance is used to compare test image features with features of database persons to compute performance parameters. It is observed that the performance recognition rate is high compared to existing techniques.
 
Publisher CIRWORLD
 
Date 2016-01-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://cirworld.com/index.php/ijct/article/view/1709
 
Source INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY; Vol 15 No 1; 6453-6470
2277-3061
 
Language eng
 
Relation http://cirworld.com/index.php/ijct/article/view/1709/1673
 
Rights Copyright (c) 2016 INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
http://creativecommons.org/licenses/by/4.0
 

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