A Survey on Face Recognition Techniques in Machine Learning
Author:
Affiliation:
1. Computer Engineering, SCTR’s Pune Institute of Computer Technology, Pune, Maharashtra, India
2. Assistant Professor at Computer Engineering, SCTR’s Pune Institute of Computer Technology, Pune, Maharashtra, India
Abstract
Publisher
Technoscience Academy
Subject
General Medicine
Reference61 articles.
1. Jafri, R., & Arabnia, H.R. (2009). A Survey of Face Recognition Techniques. J. Inf. Process. Syst., 5, 41-68.
2. Lu, Wen-yao and Ming Yang. “Face Detection Based on Viola-Jones Algorithm Applying Composite Features.” 2019 International Conference on Robots & Intelligent System (ICRIS) (2019): 82-85.
3. Li, Haoxiang, Zhe L. Lin, Xiaohui Shen, Jonathan Brandt and Gang Hua. “A convolutional neural network cascade for face detection.” 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2015): 5325-5334.
4. Chen, Haonan, Yaowu Chen, Xiang Tian and Rongxin Jiang. “A Cascade Face Spoofing Detector Based on Face Anti-Spoofing R-CNN and Improved Retinex LBP.” IEEE Access 7 (2019): 170116-170133.
5. X. Hu and B. Huang, "Face Detection based on SSD and CamShift," 2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), 2020, pp. 2324-2328, doi: 10.1109/ITAIC49862.2020.9339094.
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