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http://dx.doi.org/10.5762/KAIS.2017.18.7.655

A Method of Detecting Character Data through a Adaboost Learning Method  

Jang, Seok-Woo (Department of Digital Media, Anyang University)
Byun, Siwoo (Department of Digital Media, Anyang University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.18, no.7, 2017 , pp. 655-661 More about this Journal
Abstract
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.
Keywords
Character extraction; Evaluation; Feature; Learning algorithm; Performance;
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Times Cited By KSCI : 1  (Citation Analysis)
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