An Evaluation of CNN and SVM Algorithms for Facial Recognition

Year : 2024 | Volume :01 | Issue : 02 | Page : 12-19
By

    Pooja P. Raj

  1. Dr. Amrita Verma

  1. Research Scholar, Department of Computer Science & Engineering, Dr. C.V. Raman University, Bilaspur, Chhattisgarh, India
  2. Associate Professor, Department of Computer Science & Engineering, Dr. C.V. Raman University, Bilaspur, Chhattisgarh, India

Abstract

With the use of facial recognition technology, someone’s identity can be confirmed or identified. Real-time or picture-based facial recognition technology can be used to identify individuals. One of the most important elements in the field of biometric security is facial recognition. The technology is mostly used in the fields of law enforcement and defence, while interest in other fields is growing. To recognize the face, numerous technologies and algorithms were developed and used. In this paper, we will study two algorithms that are CNN and SVM for detecting face and analysis the best algorithm between the two. This work is organized into sections: an introduction, a face detection methods section, face detection using algorithms, and a result and conclusion section

Keywords: CNN, SVM, Face Detection, Landmark, dlib

[This article belongs to International Journal of Machine Systems and Manufacturing Technology(ijmsmt)]

How to cite this article: Pooja P. Raj, Dr. Amrita Verma.An Evaluation of CNN and SVM Algorithms for Facial Recognition.International Journal of Machine Systems and Manufacturing Technology.2024; 01(02):12-19.
How to cite this URL: Pooja P. Raj, Dr. Amrita Verma , An Evaluation of CNN and SVM Algorithms for Facial Recognition ijmsmt 2024 {cited 2024 Apr 20};01:12-19. Available from: https://journals.stmjournals.com/ijmsmt/article=2024/view=143792


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Volume 01
Issue 02
Received March 14, 2024
Accepted March 20, 2024
Published April 20, 2024
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