Name
Abstract | ||
|---|---|---|
A description is given of a method for handshapes of the Japanese manual alphabet (JMA) based on their contour features. JMA has 46 patterns each of which represents a voiceless sound of the Japanese spoken language. Since 5 fingerspellings have motion, the authors adopt a set of 41 fingerspellings |
Year | DOI | Venue |
|---|---|---|
1989 | 10.1109/ICSMC.1989.71467 | Cambridge, MA |
Keywords | Field | DocType |
character recognition,natural languages,Japanese manual alphabet,contour features,fingerspellings,image features | Character recognition,Computer science,Feature (computer vision),Speech recognition,Natural language,Natural language processing,Artificial intelligence,Spoken language,Alphabet | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Katsuyuki Ochiai | 1 | 0 | 0.34 |
| Kazuo Kamata | 2 | 9 | 4.14 |