A Scene Text Detector for Text with Arbitrary Shapes. (11th June 2020)

• Record Type: Journal Article
• Authors: Wu, Weijia; Xing, Jici; Yang, Cheng; Wang, Yuxing; Zhou, Hong
• Other Names: Zhang Qian Guest Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2020(2020)
• Publication Date: 2020-06-11
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2020/8916028
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : The performance of text detection is crucial for the subsequent recognition task. Currently, the accuracy of the text detector still needs further improvement, particularly those with irregular shapes in a complex environment. We propose a pixel-wise method based on instance segmentation for scene text detection. Specifically, a text instance is split into five components: a Text Skeleton and four Directional Pixel Regions, then restoring itself based on these elements and receiving supplementary information from other areas when one fails. Besides, a Confidence Scoring Mechanism is designed to filter characters similar to text instances. Experiments on several challenging benchmarks demonstrate that our method achieves state-of-the-art results in scene text detection with an F-measure of 84.6% on Total-Text and 86.3% on CTW1500.