DocumentCode
537844
Title
A Hand Shape Recognition Method Research Based on Gaussian Mixture Model
Author
Sun, Lingming ; Wei, Wei ; Liu, Fu
Author_Institution
Inst. Of Commun. Eng., Jilin Univ., Changchun, China
Volume
1
fYear
2010
fDate
11-12 Nov. 2010
Firstpage
15
Lastpage
19
Abstract
This paper advanced a hand geometry recognition method based on Gaussian mixture model (GMM), which used One-dimensional centroid distance series to describe 2-dimensional hand geometry. Each departed finger obtained one centroid distance series, which was used to build a Gaussian mixture model and applied to hand geometry recognition. At last, the results of experiment verified that this method was effective.
Keywords
Gaussian processes; shape recognition; 2D hand geometry; Gaussian mixture model; hand geometry recognition; hand shape recognition; one-dimensional centroid distance series; Gaussian mixture model; centroid distances series; hand geometry recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Optoelectronics and Image Processing (ICOIP), 2010 International Conference on
Conference_Location
Haiko
Print_ISBN
978-1-4244-8683-0
Type
conf
DOI
10.1109/ICOIP.2010.341
Filename
5663630
Link To Document