DocumentCode
575089
Title
Definition of weight coefficient of geometric characteristics used for identification of human face on the basis of photo-portrait
Author
Mahmudova, Sh.J.
Author_Institution
ICCIT2011: 6th International Conference on Computer Sciences and Convergence Information Technology, Jeju Island, Korea
fYear
2011
fDate
Nov. 29 2011-Dec. 1 2011
Firstpage
797
Lastpage
802
Abstract
The article describes definition of weight coefficient of geometric characteristics used for identification of human face on the basis of photo-portrait. Information about evaluation of the signs on the basis of statistical data, as well as about conducting experiments basing on different values is given. It is explained that the goal of the experiments is to refuse or confirm the accuracy of the signs´ evaluation. The article also investigates evaluation problems of classification and its work used in identification of human face on the basis of photo portrait. It was shown that, in identification issues a classifier should be organized in accordance with image signs. Error coefficient of classification system shows numerical size used for a good resolution of the sum. The article also provides algorithms to determine an error degree.
Keywords
computational geometry; face recognition; image classification; statistical analysis; classification system; geometric characteristic; human face identification; image signs; photo-portrait; statistical data; weight coefficient; Databases; Dispersion; Eyebrows; Face; Gaussian distribution; Geometry; Humans;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Sciences and Convergence Information Technology (ICCIT), 2011 6th International Conference on
Conference_Location
Seogwipo
Print_ISBN
978-1-4577-0472-7
Type
conf
Filename
6316725
Link To Document