Face and hand gesture recognition algorithm based on wavelet transforms and principal component analysis

T. T T Bui, N. H. Phan, V. G. Spitsyn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

This work presents a novel algorithm using wavelet transform and principal component analysis for face and hand gesture recognition on digital images. The testing results of the proposed algorithm are presented. Based on the testing results, it is shown that the proposed algorithm gives an effective performance of face recognition and hand gesture recognition on digital images. In this paper, we also propose a complex algorithm based on Viola-Jones method, wavelet transform and principal component analysis for multiple face detection and recognition in video sequence. The examples of multiple face detection and recognition in video sequence are resulted. The experimental results show that the proposed complex algorithm is robust in multiply detecting and recognizing faces in video sequence in real-time and competes with state-of-the-art algorithms.

Original languageEnglish
Title of host publicationProceedings - 2012 7th International Forum on Strategic Technology, IFOST 2012
DOIs
Publication statusPublished - 2012
Event2012 7th International Forum on Strategic Technology, IFOST 2012 - Tomsk, Russian Federation
Duration: 18 Sep 201221 Sep 2012

Other

Other2012 7th International Forum on Strategic Technology, IFOST 2012
CountryRussian Federation
CityTomsk
Period18.9.1221.9.12

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Keywords

  • face recognition
  • hand gesture recognition
  • principal component analysis
  • wavelet transform

ASJC Scopus subject areas

  • Management of Technology and Innovation

Cite this

Bui, T. T. T., Phan, N. H., & Spitsyn, V. G. (2012). Face and hand gesture recognition algorithm based on wavelet transforms and principal component analysis. In Proceedings - 2012 7th International Forum on Strategic Technology, IFOST 2012 [6357626] https://doi.org/10.1109/IFOST.2012.6357626