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Berat Kurar Barakat, Rafi Cohen, Ahmad Droby, Irina Rabaev and Jihad El-Sana
We present a learning-free method for text line segmentation of historical handwritten document images. This method relies on automatic scale selection together with second derivative of anisotropic Gaussian filters to detect the blob lines that strike t...
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Sobirjon Sattorovich Radjabov,Shavkat Kh. Fazilov,Nomaz N. Mirzaev,Musokhon Kh. Dadakhanov,Mukhammadmullo A. Asraev,Farkhodbek M. Shamsiev
The paper analytically reviews the methods and algorithms for solving problems arising in the development of writer identification offline systems. The main applied problems that are solved on the basis of the processing and analysis of handwritten text ...
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Haiyan Li and Hongtao Lu
Text detection is a prerequisite for text recognition in scene images. Previous segmentation-based methods for detecting scene text have already achieved a promising performance. However, these kinds of approaches may produce spurious text instances, as ...
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Wenjing Ran, Jiasheng Wang, Kun Yang, Ling Bai, Xun Rao, Zhe Zhao and Chunxiao Xu
To address the problem of low accuracy in line element recognition of raster maps due to text and background interference, we propose a raster map line element recognition method based on an improved U-Net network model, combining the semantic segmentati...
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Li Tan, Jiayi Jiang, Meng Guo and Yujia Zhong
Land use types other than specialized athletic fields provide a variety of jogging environments, addressing the shortage of urban fitness facilities and promoting urban health as well as sustainability. Currently, there is limited research comparing the ...
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