DocumentCode :
1743049
Title :
EDT based tracing maximum thinning algorithm on grey scale images
Author :
Lau, K.K. ; Yuen, Pong C. ; Tang, Y.Y.
Author_Institution :
Dept. of Comput. Sci., Hong Kong Baptist Univ., China
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
863
Abstract :
Most of the thinning algorithm nowadays are based on bilevel images. In recognition of hand-written words, such as signatures, the use of grey-scale image is better because much data is available from the image. In this article, we propose an efficient thinning algorithm based on Euclidean distance transformation (EDT) on grey level image. The output of our algorithm consists of the skeleton of the object as well as the intersection points. Moreover, the proposed algorithm is efficient and accurate in finding the skeleton
Keywords :
handwritten character recognition; EDT based tracing maximum thinning algorithm; Euclidean distance transformation; bilevel images; grey scale images; grey-scale image; hand-written word recognition; intersection points; signature recognition; skeleton; Computer science; Euclidean distance; Image generation; Image recognition; Skeleton;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.906211
Filename :
906211
Link To Document :
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