TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Integrated Method for Text Detection in Natural Scene Images |
| 영문제목(English Title) |
Integrated Method for Text Detection in Natural Scene Images |
| 저자(Author) |
Yang Zheng
Jie Liu
Heping Liu
Qing Li
Gen Li
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| 원문수록처(Citation) |
VOL 10 NO. 11 PP. 5583 ~ 5604 (2016. 11) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
In this paper, we present a novel image operator to extract textual information in natural scene images. First, a powerful refiner called the Stroke Color Extension, which extends the widely used Stroke Width Transform by incorporating color information of strokes, is proposed to achieve significantly enhanced performance on intra-character connection and non-character removal. Second, a character classifier is trained by using gradient features. The classifier not only eliminates non-character components but also remains a large number of characters. Third, an effective extractor called the Character Color Transform combines color information of characters and geometry features. It is used to extract potential characters which are not correctly extracted in previous steps. Fourth, a Convolutional Neural Network model is used to verify text candidates, improving the performance of text detection. The proposed technique is tested on two public datasets, i.e., ICDAR2011 dataset and ICDAR2013 dataset. The experimental results show that our approach achieves state-of-the-art performance.
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| 키워드(Keyword) |
Stroke Color Extension
character classifier
Character Color Transform
Convolutional Neural Network
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| 파일첨부 |
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