A Feather and Down Category Recognition System Based on GA and SVM

Author

Yan, Xiaofei ; Wang, Yanqiu

Author_Institution

Dept. of Comput. Sci., Zaozhuang Univ., Zaozhuang, China

fYear

2009

fDate

17-20 April 2009

Firstpage

128

Lastpage

132

Abstract

Currently, feather and down category recognition is often done by man with a microscope, but this method has some disadvantages. So a feather and down category recognition system is proposed in this paper, and feather and down category recognition is done by computer automatically. After the image processing and segmentation using GA, the triangle node of two-value image of feather is to be recognized with SVM, then the triangle nodes which have been recognized will be matched and the distance between the matched triangle nodes is calculated, in the end, the feather and down category is recognized. For improving recognition rate, RBF kernel SVM and GA is used.

Keywords

genetic algorithms; image recognition; image segmentation; learning (artificial intelligence); radial basis function networks; support vector machines; GA; RBF kernel SVM; down category recognition system; feather category recognition system; image matching; image processing; image segmentation; Computer science; Computer science education; Educational technology; Feathers; Image processing; Image recognition; Image segmentation; Kernel; Microscopy; Support vector machines; GA; SVM; feather and down category recognition; image processing; retrain samples;

fLanguage

English

Publisher

ieee

Conference_Titel

Education Technology and Computer, 2009. ICETC '09. International Conference on

Conference_Location

Singapore

Print_ISBN

978-0-7695-3609-5

Type

conf

DOI

10.1109/ICETC.2009.50

Filename

5169466