Detail of Publication
| Text Language | Japanese |
|---|---|
| Authors | Megumi Sakai, Seiichi Uchida, Masakazu Iwamura, Shinichiro Omachi, and Koichi Kise |
| Title | FSA-Based Optimal Segmentation for Camera-Based CharacterRecognition |
| Journal | Proceedings of MIRU 2006 |
| Presentation number | IS3-2 |
| Pages | pp.1024-1029 |
| Reviewed or not | Not reviewed |
| Month & Year | July 2006 |
| Abstract | For accurate camera-based character recognition, a method where category information is embedded onto every character image as a striped pattern has been investigated. The cross ratio calculated from the widths of stripes represents the category of the character. In this paper, an algorithm to detect the boundaries of the stripes for measuring the widths is proposed. The algorithm is realized by a combination of a dynamic programming-based optimal segmentation framework and a finite state automaton (FSA) which represents the characteristics of the striped pattern. Experimental results showed the ability of the proposed method on not only accurate boundary detection but also accurate recovery of the embedded cross ratio. |
- Following file is available.
- Entry for BibTeX
@InCollection{Sakai2006, author = {Megumi Sakai and Seiichi Uchida and Masakazu Iwamura and Shinichiro Omachi and Koichi Kise}, title = {FSA-Based Optimal Segmentation for Camera-Based CharacterRecognition}, booktitle = {Proceedings of MIRU 2006}, year = 2006, month = jul, presenID = {IS3-2}, pages = {1024--1029} }