Abstract
This paper reports a trial of handwritten text recognition by a part-based method. The part-based method recognizes individual characters by their parts without considering their whole shape. This realizes great robustness to severe deformations. This robustness is also effective for text recognition. Especially, for handwritten texts whose segmentation into individual characters is very difficult by deep touching and heavy slant, the part-based method still can recognize them because it does not request segmentation results to provide their whole shapes. Experimental results using digit sequences proved this robustness.
| Original language | English |
|---|---|
| Title of host publication | ICPR 2012 - 21st International Conference on Pattern Recognition |
| Pages | 339-342 |
| Number of pages | 4 |
| Publication status | Published - Dec 1 2012 |
| Event | 21st International Conference on Pattern Recognition, ICPR 2012 - Tsukuba, Japan Duration: Nov 11 2012 → Nov 15 2012 |
Publication series
| Name | Proceedings - International Conference on Pattern Recognition |
|---|---|
| ISSN (Print) | 1051-4651 |
Other
| Other | 21st International Conference on Pattern Recognition, ICPR 2012 |
|---|---|
| Country | Japan |
| City | Tsukuba |
| Period | 11/11/12 → 11/15/12 |
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition
Cite this
Part-based method on handwritten texts. / Wang, Song; Uchida, Seiichi; Liwicki, Marcus.
ICPR 2012 - 21st International Conference on Pattern Recognition. 2012. p. 339-342 6460141 (Proceedings - International Conference on Pattern Recognition).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Part-based method on handwritten texts
AU - Wang, Song
AU - Uchida, Seiichi
AU - Liwicki, Marcus
PY - 2012/12/1
Y1 - 2012/12/1
N2 - This paper reports a trial of handwritten text recognition by a part-based method. The part-based method recognizes individual characters by their parts without considering their whole shape. This realizes great robustness to severe deformations. This robustness is also effective for text recognition. Especially, for handwritten texts whose segmentation into individual characters is very difficult by deep touching and heavy slant, the part-based method still can recognize them because it does not request segmentation results to provide their whole shapes. Experimental results using digit sequences proved this robustness.
AB - This paper reports a trial of handwritten text recognition by a part-based method. The part-based method recognizes individual characters by their parts without considering their whole shape. This realizes great robustness to severe deformations. This robustness is also effective for text recognition. Especially, for handwritten texts whose segmentation into individual characters is very difficult by deep touching and heavy slant, the part-based method still can recognize them because it does not request segmentation results to provide their whole shapes. Experimental results using digit sequences proved this robustness.
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UR - http://www.scopus.com/inward/citedby.url?scp=84874559953&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84874559953
SN - 9784990644109
T3 - Proceedings - International Conference on Pattern Recognition
SP - 339
EP - 342
BT - ICPR 2012 - 21st International Conference on Pattern Recognition
ER -