Title :
On-line recognition of Renqun´s handwritten shorthand
Author :
Xiaoping, Chen ; Yizheng, Qiao
Author_Institution :
Dept. of Autom., Shandong Univ., Jinan, China
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;
Conference_Titel :
Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
Conference_Location :
Ulm
Print_ISBN :
0-8186-7898-4
DOI :
10.1109/ICDAR.1997.620649
