Name
Title | ||
|---|---|---|
Extraction of personal features from stroke shape, writing pressure and pen inclination in ordinary characters |
Abstract | ||
|---|---|---|
We propose an extraction method of personal features based on online handwritten characters including writing pressure and pen inclination information. In the proposed method, any handwritten character (i.e., ordinary character) is described by a set of three dimensional curves, and personal features are described by a set of Fourier descriptors for the three dimensional curves. From some simulation results using handwritten data, it is clear that the proposed method effectively extracts personal features from ordinary characters |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/ICDAR.1999.791815 | ICDAR-1 |
Keywords | Field | DocType |
ordinary characters,fourier descriptors,three dimensional curves,personal feature extraction,pen inclination,handwritten data,writing pressure,feature extraction,handwritten character,personal features,handwritten character recognition,optical character recognition,online handwritten characters,stroke shape,handwriting recognition,frequency domain analysis,three dimensional,writing,azimuth,data mining,shape | Frequency domain,Computer vision,Pattern recognition,Computer science,Handwriting recognition,Azimuth,Optical character recognition,Fourier transform,Feature extraction,Artificial intelligence | Conference |
ISBN | Citations | PageRank |
0-7695-0318-7 | 6 | 0.76 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yasushi Yamazaki | 1 | 27 | 4.88 |
| Yousuke Mizutani | 2 | 6 | 0.76 |
| Naohisa Komatsu | 3 | 68 | 12.42 |