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基于傅里叶中心线预测的任意形状文本检测方法

白昆 王哲 马龙 薛尧 李国栋 闫天 王晓田

液晶与显示2025,Vol.40Issue(6):905-914,10.
液晶与显示2025,Vol.40Issue(6):905-914,10.DOI:10.37188/CJLCD.2025-0033

基于傅里叶中心线预测的任意形状文本检测方法

Arbitrary shape text detection method based on Fourier centerline prediction

白昆 1王哲 2马龙 1薛尧 2李国栋 3闫天 3王晓田3

作者信息

  • 1. 西安现代控制技术研究所,陕西 西安 710065
  • 2. 西安交通大学 软件工程学院,陕西 西安 710049
  • 3. 西北工业大学 无人系统技术研究院,陕西 西安 710072
  • 折叠

摘要

Abstract

Text detection techniques have become highly mature,but detecting text with arbitrary shapes remains a major challenge in text detection tasks due to geometric encoding limitations of text boxes.In natural scenes,text exhibits a diverse range of shapes,and real-world text is subject to influences such as shooting angles,physical distortions of background objects,and the inherent curvature of the text itself.Merely using rectangular bounding boxes proves insufficient for encompassing irregular text instances.To improve the issue of detecting text with arbitrary shapes,a method that utilizes Fourier transforms in the frequency domain to construct text features is proposed,enabling the reconstruction of predicted boxes by predicting the text's central line.The predicted text central line not only assists in reconstructing text boxes with complex shapes,but also aids in the subsequent text recognition process through central line correction.The proposed method achieves quite competitive performance on challenging arbitrary-shaped text detection dataset CTW1500,TotalText.

关键词

场景文本检测/深度神经网络/任意文本形状

Key words

scene text detection/deep neural network/arbitrary text shape

分类

信息技术与安全科学

引用本文复制引用

白昆,王哲,马龙,薛尧,李国栋,闫天,王晓田..基于傅里叶中心线预测的任意形状文本检测方法[J].液晶与显示,2025,40(6):905-914,10.

基金项目

国家自然科学基金(No.62106193)Supported by National Natural Science Foundation of China(No.62106193) (No.62106193)

液晶与显示

OA北大核心

1007-2780

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