Face Recognition Using Computer Vision and CNN Algorithm

Authors

  • D. Sri Hari Professor, Department of ECE, Sri Venkateswara College of Engineering and Technology (A), Chittoor Andhra Pradesh, India.
  • T. Chandra Sekhar Rao Professor, Department of ECE, Sri Venkateswara College of Engineering (A), Tirupati, Andhra Pradesh, India.
  • T. Venkataramana Assistant Professor, Department of ECE, Siddartha Educational Academy Group of Institutions (SEAGI), Tirupati. Andhra Pradesh, India
  • D. Himabindu Assistant Professor, Department of EEE, SOET, SPMVV, Tirupati, Andhra Pradesh

Keywords:

CNN (Convolutional Neural Network), Deep Learning, Dataset, Face recognition, OpenCV, Eigenfaces and Fisher faces

Abstract

Numerous uses for face recognition exist in the fields of security, surveillance, and human-computer interaction. The development of Convolutional Neural Networks (CNNs) has revolutionized the field of face recognition. In this work, we examine how well a CNN-based facial recognition system performs. We compare the performance of this system to traditional methods, such as Eigenfaces and Fisher faces, using metrics such as accuracy and processing time. We also evaluate the system's robustness to variations in lighting, pose, and expression. Our results show that the CNN-based approach outperformed traditional methods in terms of accuracy and processing time. The CNN algorithm was able to recognize faces with a higher level of accuracy, even under challenging conditions such as changes in lighting, pose, and expression. Furthermore, the CNN-based system was able to process images much faster than traditional methods. Our research adds to the body of work being done in this area and offers useful insights for the design of upcoming facial recognition systems.

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References

Patrik KAMENCAY, Miroslav BENCO, Tomas MIZDOS, Roman RADIL. DIGITAL IMAGE PROCESSING AND COMPUTER GRAPHICS. VOLUME: 15 | NUMBER: 4 | 2017| SPECIAL ISSUE.

Shen Huijun. Research and implementation of face recognition image pre-processing method [J]. Science and Technology and Innovation, 2014 (18): 119-120.

Convolutional Neural Networks (CNN) - Plan of Attack – Blogs The Ultimate Guide to Convolutional Neural Networks, published by Super Data Science Team, Aug 18, 2018.

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Published

27.12.2023

How to Cite

Sri Hari, D. ., Rao, T. C. S. ., Venkataramana, T. ., & Himabindu , D. . (2023). Face Recognition Using Computer Vision and CNN Algorithm. International Journal of Intelligent Systems and Applications in Engineering, 12(9s), 252–255. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/4271

Issue

Vol. 12 No. 9s (2024)

Section

Research Article

License

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