Paper Info
Title
Enhance Algorithm of Hand's Skin Color Base on Multi-method Integration
Abstract
Recognition system based on skin color is main method of character detection of face and hand. This paper analyzed some common method of transformation of image enhance on the basis of YCbCr skin color model. A enhance method which is integrated exponential and logarithm transformation is proposed. And according to the shortcoming of fixed threshold, an automatic threshold algorithm with the fisher estimate function is proposed. The experiment with this method proves that it can enhance the contrast of foreground and background, and has good robust. The algorithm in paper is more adaptive in the recognition and detection than the fixed threshold method.
Year
DOI
Venue
2008
10.1109/ISIP.2008.147
ISIP
Keywords
Field
DocType
fixed threshold,multi-method integration,automatic threshold algorithm,skin color base,recognition system,logarithm transformation,ycbcr skin color model,fixed threshold method,main method,character detection,enhance algorithm,skin color,common method,computational modeling,histograms,testing,lighting,face recognition,biometrics,skin,face detection,information processing,pixel
Histogram,Computer science,Artificial intelligence,Color model,Face detection,Logarithm,Computer vision,Facial recognition system,YCbCr,Object detection,Pattern recognition,Algorithm,Pixel
Conference
Citations 
PageRank 
References 
0
0.34
10
Authors
3
Name
Order
Citations
PageRank
Haokui Tang1143.77
Zhiquan Feng23613.73
Tao Xu3284.37