Detail of Publication
| Text Language | English |
|---|---|
| Authors | Kazuya NEGISHI, Masakazu IWAMURA, Shinichiro OMACHI, Hirotomo ASO |
| Title | Isolated Character Recognition by Searching Features in Scene Images |
| Journal | Proc. First International Workshop on Camera-Based Document Analysis and Recognition (CBDAR2005) |
| Pages | pp.140-147 |
| Location | Seoul, South Korea |
| Reviewed or not | Reviewed |
| Month & Year | August 2005 |
| Abstract | Conventional segmentation technique cannot extract an isolated character and a touching character. In this paper, to utilize information of such characters, we propose a novel character recognition method based on extracting feature points and voting. The voting algorithm of the proposed method is similar to the generalized Hough transform. This method enables us to extract and recognize such troublesome characters in relatively shorter computational time. The effectiveness of the proposed method is confirmed by experiments. |
- Following file is available.
- Entry for BibTeX
@InProceedings{NEGISHI2005, author = {Kazuya NEGISHI and Masakazu IWAMURA and Shinichiro OMACHI and Hirotomo ASO}, title = {Isolated Character Recognition by Searching Features in Scene Images}, booktitle = {Proc. First International Workshop on Camera-Based Document Analysis and Recognition (CBDAR2005)}, year = 2005, month = aug, pages = {140--147}, location = {Seoul, South Korea} }