Name
Title | ||
|---|---|---|
On-Line Handwritten Kanji String Recognition Based On Grammar Description Of Character Structures |
Abstract | ||
|---|---|---|
In this paper we evaluate a method for on-line handwritten Kanji character recognition by describing the structure of Kanji using Stochastic Context-Free Grammar (SCFG), and extend it in order to recognize Kanji strings. In this method, we turn attention to the hierarchical structure of Kanji characters which consist of character-parts and strokes, and consider all character patterns or strings to be generated from SCFG with stochastic stroke shape and position relationship between character-parts. Describing Kanji with a few stroke shape and relative position labels, the method enables efficient training and thus robust recognition. We evaluated the recognition performance on several domains of Kanji, and on Kanji strings consist of 2 or 3 characters and gained the recognition rate of 99.29 - 97.40% for characters and 90.80% for strings. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICPR.2008.4761831 | 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6 |
Keywords | Field | DocType |
string matching,stochastic context free grammar,hidden markov models,accuracy,shape,stochastic processes,handwriting recognition,context free grammars | String searching algorithm,Context-free grammar,Computer science,Handwriting recognition,Synchronous context-free grammar,Artificial intelligence,Natural language processing,Stochastic context-free grammar,Pattern recognition,Speech recognition,Grammar,Hidden Markov model,Kanji | Conference |
ISSN | Citations | PageRank |
1051-4651 | 5 | 0.47 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ikumi Ota | 1 | 5 | 0.47 |
| Ryoichi Yamamoto | 2 | 16 | 4.29 |
| Takuya Nishimoto | 3 | 227 | 28.95 |
| Shigeki Sagayama | 4 | 1217 | 137.97 |