Title :
Online recognition of freely handwritten Japanese characters using directional feature densities
Author :
Kawamura, Akinori ; Yura, Koji ; Hayama, Tatsuya ; Hidai, Yutaka ; Minamikawa, Tadatoshi ; Tanaka, Akio ; Masuda, Shoichi
Author_Institution :
Inf. Syst. Eng. Lab., Toshiba Corp., Kawasaki, Japan
fDate :
30 Aug-3 Sep 1992
Abstract :
The authors propose an online handwritten Japanese character recognition method permitting both stroke number and stroke order variations. The method is based on the pattern matching technique. Matching is done by the multiple similarity method using directional feature densities, which are independent of both stroke number and stroke order. This method has achieved a good recognition rate, 91%, for 2965 freely written Japanese kanji characters
Keywords :
character recognition; directional feature densities; freely written Japanese kanji characters; multiple similarity method; online handwritten Japanese character recognition; pattern matching; stroke number variations; stroke order variations; Character recognition; Data engineering; Design for disassembly; Earth; Handwriting recognition; Information systems; Optical character recognition software; Pattern matching; Satellites; Systems engineering and theory;
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.1992.201750
