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Buffer-text: Detecting arbitrary shaped text in natural scene image

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成果类型:
期刊论文
作者:
Yang, Ke;Yi, Jizheng;Chen, Aibin;Jin, Ze
通讯作者:
Yi, JZ
作者机构:
[Yi, Jizheng; Yang, Ke; Chen, Aibin; Yi, JZ] Cent South Univ Forestry & Technol, Coll Comp & Informat Engn, Changsha 410004, Peoples R China.
[Yi, Jizheng; Chen, Aibin] Yuelushan Lab Carbon Sinks Forests Variety Innovat, Changsha 410000, Peoples R China.
[Jin, Ze] Tokyo Inst Technol, Inst Innovat Res, Lab Future Interdisciplinary Res Sci & Technol, Tokyo 2268503, Japan.
通讯机构:
[Yi, JZ ] C
Cent South Univ Forestry & Technol, Coll Comp & Informat Engn, Changsha 410004, Peoples R China.
语种:
英文
关键词:
Scene text detection;Fully convolutional networks (FCN);Semantic segmentation network;Buffer region;Polygonal expansion
期刊:
Engineering Applications of Artificial Intelligence
ISSN:
0952-1976
年:
2024
卷:
130
页码:
107774
基金类别:
CRediT authorship contribution statement Ke Yang: Conceptualization, Methodology, Software, Writing – original draft, Writing – review & editing. Jizheng Yi: Conceptualization, Methodology, Resources, acquisition, Supervision, Project administration, Writing – review & editing. Aibin Chen: Resources, Supervision, Writing – review & editing. Ze Jin: Validation, Writing – review & editing.
机构署名:
本校为第一且通讯机构
院系归属:
计算机与信息工程学院
摘要:
Scene text detection has always been a research hotspot in computer vision and image understanding. With the development of deep learning, segmentation-based methods have achieved an exceptional effect in regular or curved text detection, but they cannot separate adjacent word-level texts. In this paper, we proposed a detector called Buffer-Text for the detection of irregular text in the natural scene image. First, the buffer region is proposed for bending text detection which widens the spatial distance between word-level texts. Then, a centerline-based polygon expansion algorithm is develope...

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