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Necklace: a novel long text detection model

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Necklace: a novel long text detection model

Content Provider	IET Digital Library
Author	Qin, Xiao Chu, Xutao Yuan, Changan Zhao, Qi
Abstract	This study proposes a new text detection model and a novel tag generation method for long text detection in natural scenes. The background suppression module is added to the network architecture to integrate feature mapping of each channel, weaken background features, enhance text features, and improve detection accuracy. In the design of the regression frame, the use of elliptical geometric regression, through the formation of long text through a plurality of elliptical connections, better fit the shape of the text line to solve the problem of long text detection. The proposed method has achieved the performance of state-of-art in the popular datasets.
Starting Page	416
Ending Page	421
Page Count	6
Volume Number	2020
e-ISSN	20513305
Issue Number	Issue 13, Jul (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/joe/2020/13
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/joe.2019.1176
Journal	The Journal of Engineering
Publisher	The Institution of Engineering and Technology
Publisher Date	2020-01-13
Access Restriction	Open
Rights License	Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Subject Keyword	Background Features Background Suppression Module Computer Vision And Image Processing Technique Detection Accuracy Document Processing Technique Elliptical Geometric Regression Feature Extraction Feature Mapping Image Colour Analysis Image Recognition Image Segmentation Long Text Detection Model Natural Scenes Novel Tag Generation Method Optical, Image And Video Signal Processing Regression Analysis Text Analysis Text Detection Text Feature Text Line
Content Type	Text
Resource Type	Article

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