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.
Original language | English |
---|---|
Pages | 140-147 |
Number of pages | 8 |
Publication status | Published - 2005 |
Event | 1st International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2005 - Seoul, Korea, Republic of Duration: 2005 Aug 29 → 2005 Aug 29 |
Other
Other | 1st International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2005 |
---|---|
Country/Territory | Korea, Republic of |
City | Seoul |
Period | 05/8/29 → 05/8/29 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Software