DocumentCode
2160064
Title
Infrared face recognition using radative energy and decision fusion
Author
Cuiqun, He ; Guodong, Liu ; Zhihua, Xie
Author_Institution
Department of Mechanical Engineering, Nanchang Institute of Technology, Jiangxi, China
fYear
2010
fDate
4-6 Dec. 2010
Firstpage
3785
Lastpage
3788
Abstract
A novel infrared face recognition method based on radative energy and decision fusion is presented in this paper. In this method, according to Stefan-Boltzmann´s law, the raw thermogram images are transformed to the radiative energy images. Then, the block-DCT is applied to get the local features of face. Finally, a method of decision fusion based on probability is presented to obtain the final result. The experiment results show the method proposed performs better on recognition rates as compared to other methods.
Keywords
Databases; Discrete cosine transforms; Face; Face recognition; Feature extraction; Skin; Temperature measurement; decision fusion; discrete cosine transform (DCT); infrared face recognition; radative energy;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location
Hangzhou, China
Print_ISBN
978-1-4244-7616-9
Type
conf
DOI
10.1109/ICISE.2010.5691710
Filename
5691710
Link To Document