Primitives segmentation and association for a line character

Author

Chen, Yung-Sheng

Author_Institution

Dept. of Electr. Eng., Yuan-Ze Inst. of Technol., Taoyuan, Taiwan

fYear

1993

fDate

20-22 Oct 1993

Firstpage

23

Lastpage

26

Abstract

An effective approach to perform segmentation and association among line primitives and junctions for a line image is presented. The concerned problem is that the sensitivity and liability of lines appears in conventional thinning methods. This demerit become an impediment to extract effective line features in the neighborhood of a junction. The proposed approach can not only segment the line primitives and junctions but can also construct their relationships for further interpretation of the given line image

Keywords

edge detection; feature extraction; image segmentation; optical character recognition; association; image interpretation; junctions; liability; line character; line feature extraction; line image; line primitives; segmentation; sensitivity; thinning methods; Character recognition; Filters; Image analysis; Image segmentation; Impedance; Labeling; Optical character recognition software; Pattern recognition; Shape; Skeleton;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on

Conference_Location

Tsukuba Science City

Print_ISBN

0-8186-4960-7

Type

conf

DOI

10.1109/ICDAR.1993.395790

Filename

395790