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Face Recognition Based on SWT, DCT and LTP

  • Sunil S. Harakannanavar
  • C. R. Prashanth
  • Sapna Patil
  • K. B. Raja
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 771)

Abstract

Personal Identification based on face recognition has received extensive attention over the last few years in both research and real time applications due to increasing emphasis on security. In this paper, a face recognition methodology based on Stationary Wavelet Transform (SWT), Discrete Cosine Transform (DCT) and Local Ternary Pattern (LTP) is presented. SWT and DCT are applied on resized face images to produce features. LTP is applied on SWT features. SWT, DCT and LTP features are concatenated to get final features. Features of test and database images are compared using Euclidean distance. It is found that the total success rate of the proposed system is better than that of existing systems.

Keywords

Face identification Stationary wavelet transform Discrete cosine transform Local ternary pattern Success rate 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Sunil S. Harakannanavar
    • 1
  • C. R. Prashanth
    • 2
  • Sapna Patil
    • 3
  • K. B. Raja
    • 3
  1. 1.S.G. Balekundri Institute of TechnologyBelagaviIndia
  2. 2.Dr. Ambedkar Institute of TechnologyBangaloreIndia
  3. 3.University Visvesvaraya College of EngineeringBangaloreIndia

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