DocumentCode
3165556
Title
The effects of sampling variation on image recognition systems
Author
Zhou, J. ; Lopresti, D.P.
Author_Institution
Matsushita Inf. Technol. Lab., Panasonic Technol. Inc., USA
fYear
1995
fDate
4-6 Jul 1995
Firstpage
75
Lastpage
79
Abstract
Presents the results of preliminary studies on the effects of sampling variation on the performance of image recognition systems. The authors show that random perturbations in the sampling process can result in substantial deviations in measured features from an input image. Provided certain conditions are met, this variation can be exploited to improve recognition accuracy. The authors describe three experiments that demonstrate this approach in the context of step edge detection, simple pattern recognition, and OCR
Keywords
edge detection; image sampling; optical character recognition; random processes; OCR; image recognition systems; input image; measured features; performance; random perturbations; sampling variation; simple pattern recognition; step edge detection;
fLanguage
English
Publisher
iet
Conference_Titel
Image Processing and its Applications, 1995., Fifth International Conference on
Conference_Location
Edinburgh
Print_ISBN
0-85296-642-3
Type
conf
DOI
10.1049/cp:19950623
Filename
465576
Link To Document