JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
Text Detection in Scene Images Based on Interest Points |
| 영문제목(English Title) |
Text Detection in Scene Images Based on Interest Points |
| 저자(Author) |
Minh Hieu Nguyen
Gueesang Lee
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| 원문수록처(Citation) |
VOL 11 NO. 04 PP. 0528 ~ 0537 (2015. 12) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Text in images is one of the most important cues for understanding a scene. In this paper, we propose a novel approach based on interest points to localize text in natural scene images. The main ideas of this approach are as follows: first we used interest point detection techniques, which extract the corner points of characters and center points of edge connected components, to select candidate regions. Second, these candidate regions were verified by using tensor voting, which is capable of extracting perceptual structures from noisy data. Finally, area, orientation, and aspect ratio were used to filter out non-text regions. The proposed method was tested on the ICDAR 2003 dataset and images of wine labels. The experiment results show the validity of this approach. |
| 키워드(Keyword) |
Connected Component
Interest Point
Tensor Voting
Text Detection
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| 파일첨부 |
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