Title :
Online hand-drawn line-figure recognition and its application
Author :
Kojima, Haruhiko ; Toida, Tohru
Author_Institution :
Human Interface Lab., NTT, Kanagawa, Japan
Abstract :
An efficient online hand-drawn line-figure recognition method called the adjacent strokes structure analysis method (ASSAM) is described. ASSAM is interactive, using adjacent-stroke features and is independent of how the figures are drawn. Several recognition experiments for hand-drawn line-figures confirm that ASSAM has a high recognition rate. This work also describes an integrated system using ASSAM, an online handwritten character-recognition method and an online text/figure editing method by handwritten instructions
Keywords :
character recognition; character sets; computerised pattern recognition; adjacent strokes structure analysis; computerised pattern recognition; handwritten character-recognition; online hand-drawn line-figure recognition; text/figure editing; Application software; Character recognition; Feature extraction; Flat panel displays; Flowcharts; Humans; Laboratories; Magnetic cores; Man machine systems; Prototypes;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28461
