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
fDate :
Nov. 29 2011-Dec. 1 2011
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;
Conference_Titel :
Computer Sciences and Convergence Information Technology (ICCIT), 2011 6th International Conference on
Conference_Location :
Seogwipo
Print_ISBN :
978-1-4577-0472-7