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 |
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| 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 |
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| ISSN (Print) | 1051-4651 |
Other
| Other | 21st International Conference on Pattern Recognition, ICPR 2012 |
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| Country | Japan |
| City | Tsukuba |
| Period | 11/11/12 → 11/15/12 |
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition
Cite this
Wang, S., Uchida, S., & Liwicki, M. (2012). Part-based method on handwritten texts. In ICPR 2012 - 21st International Conference on Pattern Recognition (pp. 339-342). [6460141] (Proceedings - International Conference on Pattern Recognition).