Title
Forming square-styled brush-written Kanji through calligraphic skill knowledge
Abstract
We propose a computer formation of brush-written Kanji characters for a brush writing training system using calligraphic knowledge. The style of brush handwriting depends mainly on the way of using a writing brush. Brush writing skills include the direction of the brush at the beginning, curvature and turning the brush, and the brush-up at the termination point in a stroke. We revise the calligraphic knowledge base according to the above mentioned brush writing skills. For simulating real brush movement, we represent the brush contact form that is the brush shape on the writing plane as a brush-touch. The system can control the size and direction of this brush-touch during the brush simulation. The system simulates the real brush writing to move the brush-touch along the skeleton letter shape in the standard database. We can get the brush written Kanji from the locus of the brush-touch movement. This system is also useful for students learning how to write Japanese letters beautifully with a brush
Year
DOI
Venue
1996
10.1109/MMCS.1996.535899
ICMCS
Keywords
Field
DocType
brush handwriting,real brush movement,vr museum,brush-touch movement,multimedia computing,intelligent tutoring systems,real brush,calligraphic knowledge base,brush writing skills,brush writing training system,virtual reality,calligraphy,brush simulation,multimedia,multimedia vr,brush shape,ocr,interactive theater,writing brush,writing plane,brush contact form,forming square-styled brush,computer based training,multimedia center,linguistics,optical character recognition,calligraphic skill knowledge,japanese letters,brush writing,main research group,standard database,brush-written kanji,handwriting recognition,character sets,writing,skeleton,computer science,cellular neural networks,control systems,knowledge base
Handwriting,Computer graphics (images),Computer science,Brush,Handwriting recognition,Optical character recognition,Calligraphy,Character encoding,Kanji,Student learning
Conference
ISBN
Citations 
PageRank 
0-8186-7438-5
4
0.46
References 
Authors
0
2
Name
Order
Citations
PageRank
toshinori yamasaki1178.15
Tetsuo Hattori2109.25