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 language | English |
|---|---|
| Title of host publication | Proceedings - 2012 7th International Forum on Strategic Technology, IFOST 2012 |
| DOIs | |
| Publication status | Published - 2012 |
| Event | 2012 7th International Forum on Strategic Technology, IFOST 2012 - Tomsk, Russian Federation Duration: 18 Sep 2012 → 21 Sep 2012 |
Other
| Other | 2012 7th International Forum on Strategic Technology, IFOST 2012 |
|---|---|
| Country | Russian Federation |
| City | Tomsk |
| Period | 18.9.12 → 21.9.12 |
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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
Face and hand gesture recognition algorithm based on wavelet transforms and principal component analysis. / Bui, T. T T; Phan, N. H.; Spitsyn, V. G.
Proceedings - 2012 7th International Forum on Strategic Technology, IFOST 2012. 2012. 6357626.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Face and hand gesture recognition algorithm based on wavelet transforms and principal component analysis
AU - Bui, T. T T
AU - Phan, N. H.
AU - Spitsyn, V. G.
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - face recognition
KW - hand gesture recognition
KW - principal component analysis
KW - wavelet transform
UR - http://www.scopus.com/inward/record.url?scp=84871846399&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84871846399&partnerID=8YFLogxK
U2 - 10.1109/IFOST.2012.6357626
DO - 10.1109/IFOST.2012.6357626
M3 - Conference contribution
SN - 9781467317702
BT - Proceedings - 2012 7th International Forum on Strategic Technology, IFOST 2012
ER -