OAK

자연의 영상에서 문자 합성 모델을 사용한 문자 검출

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Author(s)
이윤관심대영전문구
Type
Conference Paper
Citation
2017년도 대한전자공학회 하계종합학술대회, pp.1248 - 1250
Issued Date
2017-06-29
Abstract
In this paper, we propose a pipeline to detect the text block data using the text synthesis model. We generate various types of texts using GAN. With the given generated text, we naturally synthesized natural images through a single image depth estimation and segmentation process. The generated synthesis image helps to secure the text block data that robustly adapts to the natural image. In our experiments, it is shown that the proposed algorithm demonstrates robust text detection performance
Publisher
대한전자공학회
Conference Place
KO
해운대그랜드호텔
URI
https://scholar.gist.ac.kr/handle/local/20292
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