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

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

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

9 Цитирования (Scopus)

Аннотация

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.

Язык оригиналаАнглийский
Название основной публикацииProceedings - 2012 7th International Forum on Strategic Technology, IFOST 2012
DOI
СостояниеОпубликовано - 2012
Событие2012 7th International Forum on Strategic Technology, IFOST 2012 - Tomsk, Российская Федерация
Продолжительность: 18 сен 201221 сен 2012

Другое

Другое2012 7th International Forum on Strategic Technology, IFOST 2012
СтранаРоссийская Федерация
ГородTomsk
Период18.9.1221.9.12

ASJC Scopus subject areas

  • Management of Technology and Innovation

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