ONLINE CURSIVE KANJI CHARACTER-RECOGNITION USING STROKE-BASED AFFINE TRANSFORMATION

Authors
WAKAHARA T ODAKA K
Citation
T. Wakahara et K. Odaka, ONLINE CURSIVE KANJI CHARACTER-RECOGNITION USING STROKE-BASED AFFINE TRANSFORMATION, IEEE transactions on pattern analysis and machine intelligence, 19(12), 1997, pp. 1381-1385
Citations number
17
Journal title
IEEE transactions on pattern analysis and machine intelligence → ACNP
ISSN journal
01628828
Volume
19
Issue
12
Year of publication
1997
Pages
1381 - 1385
Database
ISI
SICI code
0162-8828(1997)19:12<1381:OCKCUS>2.0.ZU;2-Y
Abstract
We present a distortion-tolerant on-line cursive Kanji character recog nition method that absorbs the stroke-based handwriting distortion exp ressible by uniform affine transformation. Experiments are made using two kinds of test data in the square style and in the cursive style fo r 2,980 Kanji character categories; recognition rates of 98.4 percent and 96.0 percent are obtained.