- Volume 18 Issue 7
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A Method of Detecting Character Data through a Adaboost Learning Method
에이다부스트 학습을 이용한 문자 데이터 검출 방법
- Jang, Seok-Woo (Department of Digital Media, Anyang University) ;
- Byun, Siwoo (Department of Digital Media, Anyang University)
- Received : 2017.06.26
- Accepted : 2017.07.07
- Published : 2017.07.31
It is a very important task to extract character regions contained in various input color images, because characters can provide significant information representing the content of an image. In this paper, we propose a new method for extracting character regions from various input images using MCT features and an AdaBoost algorithm. Using geometric features, the method extracts actual character regions by filtering out non-character regions from among candidate regions. Experimental results show that the suggested algorithm accurately extracts character regions from input images. We expect the suggested algorithm will be useful in multimedia and image processing-related applications, such as store signboard detection and car license plate recognition.
Character extraction;Evaluation;Feature;Learning algorithm;Performance
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