Abstract
This paper concerns the modeling of character images by a Markov-like stochastic template that is constructed in the form of the pseudo 2D HMM. Being constructed directly from the image templates, the models can be composed in real time. Preliminary test results in digit recognition and Korean Hangul character spotting show the feasibility of the proposed method, especially in the context of incremental location of keywords.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001 |
| Publisher | IEEE Computer Society |
| Pages | 60-63 |
| Number of pages | 4 |
| Volume | 2001-January |
| ISBN (Electronic) | 0769512631, 0769512631, 0769512631 |
| DOIs | |
| Publication status | Published - 2001 |
| Event | 6th International Conference on Document Analysis and Recognition, ICDAR 2001 - Seattle, United States Duration: 2001 Sep 10 → 2001 Sep 13 |
Other
| Other | 6th International Conference on Document Analysis and Recognition, ICDAR 2001 |
|---|---|
| Country | United States |
| City | Seattle |
| Period | 01/9/10 → 01/9/13 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
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Cite this
Kim, S. K., Sin, B. K., & Lee, S. W. (2001). Character spotting using image-based stochastic models. In Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001 (Vol. 2001-January, pp. 60-63). [953755] IEEE Computer Society. https://doi.org/10.1109/ICDAR.2001.953755