DocumentCode
2192092
Title
On-line recognition of Renqun´s handwritten shorthand
Author
Xiaoping, Chen ; Yizheng, Qiao
Author_Institution
Dept. of Autom., Shandong Univ., Jinan, China
Volume
2
fYear
1997
fDate
18-20 Aug 1997
Firstpage
941
Abstract
A computer-based transcription system of Chinese Renqun shorthand is introduced in this paper. Shorthands are inputted from a writing tablet, after preprocessing, segmentation, feature extraction and coarse classification, artificial intelligence (AI) and dynamic programming (DP) methods are used to recognize the shorthands. Test results show that the development of a computer transcription system of Renqun shorthand is feasible and encouraging
Keywords
character recognition; feature extraction; image classification; Chinese Renqun shorthand; Renqun´s handwritten shorthand; artificial intelligence; coarse classification; computer transcription system; dynamic programming; feature extraction; on-line recognition; preprocessing; segmentation; Artificial intelligence; Automation; Character recognition; Data preprocessing; Feature extraction; Handwriting recognition; Joining processes; Pattern recognition; Sampling methods; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
Conference_Location
Ulm
Print_ISBN
0-8186-7898-4
Type
conf
DOI
10.1109/ICDAR.1997.620649
Filename
620649
Link To Document