Name
Abstract | ||
|---|---|---|
This paper reviews several trials of re-designing conventional communication medium, i.e., characters, for enriching their functions by using data-embedding techniques. For example, characters are redesigned to have better machine-readability even under various geometric distortions by embedding a geometric invariant into each character image to represent class label of the character. Another example is to embed various information into handwriting trajectory by using a new pen device, called a data-embedding pen. An experimental result showed that we can embed 32-bit information into a handwritten line of 5 cm length by using the pen device. In addition to those applications, we also discuss the relationship between data-embedding and pattern recognition in a theoretical point of view. Several theories tell that if we have appropriate supplementary information by data-embedding, we can enhance pattern recognition performance up to 100%. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1587/transinf.2014MUI0002 | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS |
Keywords | Field | DocType |
data embedding, character recognition, handwriting, supplementary information, character design, geometric invariant, pen device | Computer vision,Embedding,Pattern recognition,Character recognition,Intelligent character recognition,Handwriting,Computer science,Invariant (mathematics),Artificial intelligence,Character design,Trajectory | Journal |
Volume | Issue | ISSN |
E98D | 1 | 1745-1361 |
Citations | PageRank | References |
0 | 0.34 | 11 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Koichi Kise | 1 | 948 | 139.96 |
| Shinichiro Omachi | 2 | 204 | 25.00 |
| Seiichi Uchida | 3 | 790 | 105.59 |
| Masakazu Iwamura | 4 | 452 | 45.67 |
| Marcus Liwicki | 5 | 1292 | 101.35 |