Bibliographic Details
| Title: |
Online Handwriting Character Recognition Method Using Directional and Direction-Change Features. |
| Authors: |
Okamoto, Masayoshi, Yamamoto, Kazuhiko |
| Source: |
International Journal of Pattern Recognition & Artificial Intelligence. Nov1999, Vol. 13 Issue 7, p1041. 19p. |
| Subjects: |
Pattern perception, Japanese character sets (Data processing) |
| Abstract: |
We propose a new online recognition method to recognize handwritten cursive-style Japanese characters correctly. Our method simultaneously uses both directional features, otherwise known as offline features, and direction-change features which we designed as online features. The direction-change features express where in the mesh and in which direction the character's coordinates change. These features express both written strokes in the pen-down state and unwritten imaginary strokes in the pen-up state. The recognition rate was improved by our method over the traditional method using only directional features. [ABSTRACT FROM AUTHOR] |
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| Database: |
Engineering Source |
