MR-FPN: Multi-Level Residual Feature Pyramid Text Detection Network Based on Self-Attention Environment [PDF]
Sensors, 2022 With humanity entering the age of intelligence, text detection technology has been gradually applied in the industry. However, text detection in a complex background is still a challenging problem for researchers to overcome.
Jianjun Kang +2 more
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Irregular Scene Text Detection Based on a Graph Convolutional Network [PDF]
Sensors, 2023 Detecting irregular or arbitrary shape text in natural scene images is a challenging task that has recently attracted considerable attention from research communities.
Shiyu Zhang +5 more
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Scene Text Detection Based on Two-Branch Feature Extraction [PDF]
Sensors, 2022 Scene text detection refers to locating text regions in a scene image and marking them out with text boxes. With the rapid development of the mobile Internet and the increasing popularity of mobile terminal devices such as smartphones, the research on ...
Mayire Ibrayim, Yuan Li, Askar Hamdulla
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A Robust Method: Arbitrary Shape Text Detection Combining Semantic and Position Information [PDF]
Sensors, 2022 There is a growing interest in scene text detection for arbitrary shapes. The effectiveness of text detection has also evolved from horizontal text detection to the ability to perform text detection in multiple directions and arbitrary shapes.
Zhenchao Wang +3 more
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SEMPANet: A Modified Path Aggregation Network with Squeeze-Excitation for Scene Text Detection [PDF]
Sensors, 2021 Recently, various object detection frameworks have been applied to text detection tasks and have achieved good performance in the final detection. With the further expansion of text detection application scenarios, the research value of text detection ...
Shuangshuang Li, Wenming Cao
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HubNet: An E2E Model for Wheel Hub Text Detection and Recognition Using Global and Local Features [PDF]
SensorsAutomatic detection and recognition of wheel hub text, which can boost the efficiency and accuracy of product information recording, are undermined by the obscurity and orientation variability of text on wheel hubs.
Yue Zeng, Cai Meng
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A Multi-Scale Natural Scene Text Detection Method Based on Attention Feature Extraction and Cascade Feature Fusion [PDF]
SensorsScene text detection is an important research field in computer vision, playing a crucial role in various application scenarios. However, existing scene text detection methods often fail to achieve satisfactory results when faced with text instances of ...
Nianfeng Li +5 more
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Zhejiang dianli, 2023 Image text recognition and deep learning technology are gradually applied in the field of engineering drawing recognition. The electrical secondary drawing takes the terminal block drawing as an example， which has problems such as small target detection ...
CHU Xueru +5 more
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A Review of Recent Advances and Challenges in Grocery Label Detection and Recognition
Applied Sciences, 2023 When compared with traditional local shops where the customer has a personalised service, in large retail departments, the client has to make his purchase decisions independently, mostly supported by the information available in the package. Additionally,
Vânia Guimarães +3 more
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A Neural Network Model for Text Detection in Chinese Drug Package Insert
IEEE Access, 2021 The text information in the medical photocopies is of great significance to the construction of medical digital platform. Text region detection, the very first step of extracting medical photocopies information, is functional to detect text area or ...
Haiwen Wu, Ri-Gui Zhou, Yaochong Li
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