Journal of Signal and Information Processing

Volume 3, Issue 2 (May 2012)

ISSN Print: 2159-4465   ISSN Online: 2159-4481

Google-based Impact Factor: 1.19  Citations  

Face Recognition Feature Comparison Based SVD and FFT

HTML  Download Download as PDF (Size: 212KB)  PP. 259-262  
DOI: 10.4236/jsip.2012.32035    6,894 Downloads   11,749 Views  Citations

ABSTRACT

SVD and FFT are both the efficient tools for image analysis and face recognition. In this paper, we first study the role of SVD and FFT in both filed. Then the decomposition information from SVD and FFT are compared. Next, a new viewpoint that the singular value matrix contains the illumination information of the image is proposed and testified by the experiments based on the ORL face database finally.

Share and Cite:

L. Zhao, W. Hu and L. Cui, "Face Recognition Feature Comparison Based SVD and FFT," Journal of Signal and Information Processing, Vol. 3 No. 2, 2012, pp. 259-262. doi: 10.4236/jsip.2012.32035.

Cited by

[1] Feature Extraction of 3T3 Fibroblast Microtubule Based on Discrete Wavelet Transform and Lucy–Richardson Deconvolution Methods
Micromachines, 2022
[2] Bioimage postprocessing based on discrete wavelet transform and Lucy-Richardson deconvolution methods
bioRxiv, 2021
[3] Using Contourlet Transform Based RBFN Classifier for Face Detection and Recognition
2018
[4] A Robust Face Recognition Approach through Symbolic Modeling of Polar FFT features
Pattern Recognition, 2017
[5] Image Compression with Singular Value Decomposition & Correlation: a Graphical Analysis
2017
[6] A survey on techniques to handle face recognition challenges: occlusion, single sample per subject and expression
Artificial Intelligence Review, 2017
[7] An Advancement towards Efficient Face Recognition Using Live Video Feed:" For the Future"
2017
[8] Two Dimensionality Reduction Techniques for SURF Based Face Recognition
Procedia Computer Science, 2016
[9] An Efficient SVD's Principle Components for Face Recognition
2016
[10] Face Recognition Using Hybrid Feature Space in Conjunction with Support Vector Machine
J. Appl. Environ. Biol. Sci, 2015
[11] Face Recognition Using Ensemble Feature Space in Combination with Support Vector Machine
2015
[12] Face recognition using hybrid feature space in conjunction with support
2015
[13] An Investigation of fSVD and Ridgelet Transform for Illumination and Expression Invariant Face Recognition
Advances in Intelligent Informatics, 2015
[14] A Brief Review on Feature Based Approaches for Face Recognition
2015
[15] 一种用于人脸识别的非迭代 GLRAM 算法
西安电子科技大学学报, 2014
[16] A Novel Permutation Based Approach for Effective and Efficient Representation of Face Images under Varying Illuminations
International Journal of Advanced Computer Science & Applications, 2013
[17] Face Recognition Using Singular Value Decomposition of Facial Colour Image Database
2013

Journals Menu
Follow SCIRP
Contact us
+1 323-425-8868
customer@scirp.org
WhatsApp +86 18163351462(WhatsApp)
Click here to send a message to me 1655362766
Paper Publishing WeChat

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.