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Design and Implementation of a Face Authentication System

  • Journal of Software Assessment and Valuation
  • Abbr : JSAV
  • 2020, 16(2), pp.63-68
  • Publisher : Korea Software Assessment and Valuation Society
  • Research Area : Engineering > Computer Science
  • Received : August 10, 2020
  • Accepted : December 21, 2020
  • Published : December 31, 2020

Lee, Seungik 1

1연암공과대학교

Candidate

ABSTRACT

This paper proposes a face authentication system based on deep learning framework. The proposed system is consisted of face region detection and feature extraction using deep learning algorithm, and performed the face authentication using joint-bayesian matrix learning algorithm. The performance of proposed paper is evaluated by various face database , and the face image of one person consists of 2 images. The face authentication algorithm was performed by measuring similarity by applying 2048 dimension characteristic and combined Bayesian algorithm through Deep Neural network and calculating the same error rate that failed face certification. The result of proposed paper shows that the proposed system using deep learning and joint bayesian algorithms showed the equal error rate of 1.2%, and have a good performance compared to previous approach.

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