Title :
Online recognition of connected handwriting by segmentation and template matching
Author :
Higgins, Colin A. ; Ford, David M.
Author_Institution :
Nottingham Univ., UK
fDate :
30 Aug-3 Sep 1992
Abstract :
Users interact with pen-based computers by drawing on the display with a stylus. Handwriting is the obvious method for entering data onto these machines. This requires cursive script recognition (CSR), which comprehends unconstrained, natural handwriting. The authors have developed an online CSR system that can be used by any person with reasonably neat script. This paper describes the segmentation and template matching process used
Keywords :
character recognition equipment; image segmentation; user interfaces; connected handwriting; cursive script recognition; online character recognition; pen-based computers; segmentation; stylus; template matching; Character recognition; Computer displays; Computer interfaces; Handwriting recognition; Humans; Microcomputers; Mobile computing; Portable computers; Probability; Writing;
Conference_Titel :
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2915-0
DOI :
10.1109/ICPR.1992.201754
