An Illumination Pre-processing Method Using the Enhanced Energy of Discrete Wavelet Transform for Face Recognition-Reference-Cited by-同舟云学术

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An Illumination Pre-processing Method Using the Enhanced Energy of Discrete Wavelet Transform for Face Recognition

Published:2018-07-02 Issue:2 Volume:66 Page:160-171
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

Thamizharasi A.¹,J. S. Jayasudha²

Affiliation:

1. Department of Computer Science and Engineering, Mohandas College of Engineering and Technology, Anad, Nedumangad PO, Trivandrum, Kerala, India

2. Department of Computer Science and Engineering, SCT College of Engineering, Pappanamcode, Trivandrum, Kerala, India

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/03772063.2018.1483747

Reference26 articles.

1. Eigenfaces vs. Fisherfaces: recognition using class specific linear projection

2. Face Recognition Under Varying Illumination Using Gradientfaces

3. Total variation models for variable lighting face recognition

4. A comparative study on illumination preprocessing in face recognition

5. Perceptual Color Image Coding With JPEG2000

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Privacy-Preserving Integration of Face Recognition System and ESD Tester Using Federated Learning;2023 International Conference on Circuit Power and Computing Technologies (ICCPCT);2023-08-10

2. Low Frequency DD-DWT based illumination compensated and color intensified features for Face Recognition;2023-04-20

3. Multiresolution Analysis Based on Variants of Wavelet Transforms for Illumination Normalized Face Recognition;Proceedings of Fourth Doctoral Symposium on Computational Intelligence;2023

4. Cotton stubble detection based on wavelet decomposition and texture features;Plant Methods;2021-11-02

5. Face illumination recovery for the deep learning feature under severe illumination variations;Pattern Recognition;2021-03

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