DocumentCode
476244
Title
Image smooth magnification segmentation based on curve expression
Author
Chen, Xiao-feng ; Pan, Bao-chang ; Zheng, Sheng-lin
Author_Institution
Dept. of Inf. Eng., Guangdong Univ. of Technol., Guangzhou
Volume
5
fYear
2008
fDate
12-15 July 2008
Firstpage
2899
Lastpage
2904
Abstract
Propose some algorithms about image smooth magnification and character segmentation, aiming at the difficult factor of little license plate region segmentation, in license plate recognition. In the algorithm, describe the relationship between image and surface, with Cardinal curve construction and sampling methods, magnify image smoothly in transverse and longitudinal direction, take image binarization with iterative method, make longitudinal projection, calculate and modify projection segmentation attributes, segment license plate characters. The experiments shows that the algorithm magnify image, wipe off noise at the same time, and realize license plate character segmentation more easily.
Keywords
character recognition; computational geometry; image recognition; image segmentation; iterative methods; Cardinal curve construction; character segmentation; curve expression; image binarization; image smooth magnification segmentation; iterative method; license plate recognition; Cameras; Curve fitting; Digital images; Gray-scale; Image segmentation; Interpolation; Licenses; Pixel; Road vehicles; Surface fitting; Cardinal Curve; Curve Expression; Image Magnification; License Plate Segmentation; Projection Segmentation Attributes;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location
Kunming
Print_ISBN
978-1-4244-2095-7
Electronic_ISBN
978-1-4244-2096-4
Type
conf
DOI
10.1109/ICMLC.2008.4620903
Filename
4620903
Link To Document