Author(s)

Amir Amini ¹, Ali Pourmohammad ², Ali Asghar Khosravi ¹

Affiliation(s)

¹ Department of Electrical Engineering, Faculty of Engineering and Technology, West Tehran Branch – Islamic Azad University, Tehran, IRAN
² Electrical Engineering Department, Amirkabir University of Technology, Tehran, IRAN

Corresponding Author

Ali Pourmohammad

ABSTRACT

Face recognition is one of the methods used to identifying the people. Due to its ease of use, this method has been used in recent decades. This method is more user friendly than other people identifying methods through iris, retina, fingerprint, etc. Because of the lack of cooperation of the person being examined, the face recognition method is more acceptable than others. In this paper, using one of the Subspace Methods as the face attribute extractor and applying its pre-processing technique as the initial stage of the face recognition system, has been investigated for increasing the face recognition rate, and extraction of a certain aspect of the face has led to improvement in the correctness of the diagnosis. The subspace algorithm, by highlighting the features needs to identify and remove unnecessary information, reduces the volume of computations and increases the speed of detection. Then 80% of the data is trained by support vector machine and random forests, both of which are classifiers, and tested on 20% of the data. In this paper, due to changes in its pre-processing and changes in the way of extracting the characteristics, the results are obtained efficient.

KEYWORDS

Support Vector Machine, Random Forest, Subspace Methods, PCA, LDA

CITE THIS PAPER

Ali Asghar, Khosravi, Ali Pourmohammad and Amir Amini, Random Forest and SVM Based Face Recognition Using Subspace Methods, Information Systems and Signal Processing Journal (2018) Vol. 3: 5-13.

REFERENCES

[1] Teja, G. Prabhu, and S. Ravi. "Face recognition using Subspace  techniques." Recent Trends In Information Technology (ICRTIT), 2012 International Conference on. IEEE, 2012.
[2] Kremic, Emir, and Abdulhamit Subasi. "Performance of Random Forest and SVM in Face Recognition." The International Arab Journal of Information Technology (2015).
[3] Hyeongoon moon, P Jonathon Philips, “Computational and Prformance aspects of PCA-based Face Recognition Algorithms”, IEEE, 2001.
[4] Shanshan Guo, Shiyu Chen, Yanjie Li, “ Face Recignition Based on Convolutional Neural Network and Support Vector Machine “, Proceedings of the IEEE, Ningbo, China, August 2016.
[5] Shih-Hsuan Yang, Yu-Xiang Zhan, “Improved Face Recognition by Incorporating Local Color Information into the Active Shape Model”. Machine Learning and Cybernetics, Jeju, South Korea, 10-13 July, 2016
[6] Shih-Hsuan Yang, Yu-Xiang Zhan, “Improved Face Recognition by Incorporating Local Color Information into the Active Shape Model”. Machine Learning and Cybernetics, Jeju, South Korea, 10-13 July, 2016
[7] Pratibha Sukhija, Sunny Behal, Pritpal Singh, “Face Recognition System Using Genetic Algorithm”, Procedia

Sponsors, Associates, and Links

---

• Intelligent Robots and Systems
  
  
• Journal of Image, Video and Signals
  
  
• Journal of Electronics and Information Science
  
  
• Transactions on Real-Time and Embedded Systems
  
  
• Journal of Electromagnetic Interference and Compatibility
  
  
• Acoustics, Speech and Signal Processing
  
  
• Journal of Power Electronics, Machines and Drives
  
  
• Journal of Electro Optics and Lasers
  
  
• Journal of Integrated Circuits Design and Test
  
  
• Journal of Ultrasonics
  
  
• Antennas and Propagation
  
  
• Optical Communications
  
  
• Solid-State Circuits and Systems-on-a-Chip
  
  
• Field-Programmable Gate Arrays
  
  
• Vehicular Electronics and Safety
  
  
• Optical Fiber Sensor and Communication
  
  
• Journal of Low Power Electronics and Design
  
  
• Infrared and Millimeter Wave
  
  
• Detection Technology and Automation Equipment
  
  
• Journal of Radio and Wireless
  
  
• Journal of Microwave and Terahertz Engineering
  
  
• Journal of Communication, Control and Computing
  
  
• International Journal of Surveying and Mapping
  
  
• Information Retrieval, Systems and Services
  
  
• Journal of Biometrics, Identity and Security
  
  
• Journal of Avionics, Radar and Sonar