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Updated: Aug 7, 2025

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
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Arbitrary-Shaped Text Detection with B-Spline Curve Network.

Yuwei You1, Yuxin Lei2, Zixu Zhang3

  • 1College of Mathematics and Physics, Shanghai University of Electric Power, Shanghai 201306, China.

Sensors (Basel, Switzerland)
|March 11, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces BSNet, a novel arbitrary-shaped text detection model. BSNet uses B-Spline curves for accurate contour prediction, improving text detection in complex natural scenes.

Keywords:
B-Spline curveDeformable DETRcomputer visionscene text detection

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Area of Science:

  • Computer Vision
  • Machine Learning
  • Image Processing

Background:

  • Text regions in natural scenes exhibit complex and variable shapes.
  • Traditional contour coordinate methods lead to inadequate modeling and low accuracy in text detection.
  • Irregular text shapes pose a significant challenge for automated text detection systems.

Purpose of the Study:

  • To develop an effective arbitrary-shaped text detection model for natural scenes.
  • To improve the accuracy and efficiency of text detection in complex visual environments.
  • To address the limitations of existing methods in handling irregular text contours.

Main Methods:

  • Proposes BSNet, an arbitrary-shaped text detection model based on Deformable DETR.
  • Utilizes B-Spline curves for accurate text contour representation, reducing predicted parameters.
  • Eliminates manually designed components for a simplified and streamlined model design.

Main Results:

  • Achieved an F-measure of 86.8% on the CTW1500 dataset.
  • Achieved an F-measure of 87.6% on the Total-Text dataset.
  • Demonstrated significant effectiveness in detecting text with arbitrary shapes.

Conclusions:

  • BSNet effectively handles irregular text regions in natural scenes.
  • The B-Spline curve approach enhances contour accuracy and parameter efficiency.
  • The proposed model offers a simplified and effective solution for arbitrary-shaped text detection.