A personal handwritten Chinese character recognition algorithm based on the generalized Hough transform

Author

Li, Ming-Jing ; Dai, Ru-Wei

Author_Institution

Inst. of Autom., Acad. Sinica, Beijing, China

Volume

2

fYear

1995

fDate

14-16 Aug 1995

Firstpage

828

Abstract

The generalized Hough transform is a useful method for detecting arbitrary 2-dimensional shapes. Based on the consideration that handwritten Chinese characters are complex 2-dimensional shapes, we make an attempt to recognize them by using the generalized Hough transform. Features extracted from the parameter space are used to calculate the similarity measure between two character images. The algorithm is implemented in a look-up-table scheme which can be extended to other applications of pattern recognition. Experimental results on personal (writer-dependent) handwritten Chinese character recognition show that this algorithm is suitable for the pre-classification of personal handwritten Chinese character recognition

Keywords

Hough transforms; character sets; feature extraction; handwriting recognition; image matching; optical character recognition; pattern classification; pattern recognition; table lookup; arbitrary 2D shape detection; character pre-classification; feature extraction; generalized Hough transform; look-up-table; parameter space; pattern recognition; personal handwritten Chinese character recognition; similarity measure; writer-dependent; Analytical models; Application software; Automation; Character recognition; Feature extraction; Handwriting recognition; Image processing; Pattern recognition; Shape; Voting;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on

Conference_Location

Montreal, Que.

Print_ISBN

0-8186-7128-9

Type

conf

DOI

10.1109/ICDAR.1995.602029

Filename

602029