Laser & Optoelectronics Progress, Volume. 58, Issue 14, 1410007(2021)

Deep Convolution Neural Network Method for Skew Angle Detection in Text Images

Congzhou Guo1、*, Ke Li1, Yikun Zhu1, Xiaochong Tong2, and Xiwen Wang1
Author Affiliations
  • 1Department of Basic, Information Engineering University, Zhengzhou, Henan 450001, China
  • 2School of Surveying and Mapping, Information Engineering University, Zhengzhou, Henan 450001, China
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    References(14)

    [2] Liao M H, Pang G, Huang J et al. Mask TextSpotter v3: segmentation proposal network for robust scene text spotting[M]. //Vedaldi A, Bischof H, Brox T, et al. Computer vision-ECCV 2020. Lecture notes in computer science, 12356, 706-722(2020).

    [3] Lyu P Y, Liao M H, Yao C et al. Mask TextSpotter: an end-to-end trainable neural network for spotting text with arbitrary shapes[M]. //Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018. Lecture notes in computer science, 11218, 71-88(2018).

    [4] Zhang Z, Zhang C Q, Shen W et al. Multi-oriented text detection with fully convolutional networks[J]. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA., 4159-4167(2016).

    [10] Zhang Y, Gong Z Y, Wei W W. Traffic sign detection based on improved Faster R-CNN model[J]. Laser & Optoelectronics Progress, 57, 181015(2020).

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    Congzhou Guo, Ke Li, Yikun Zhu, Xiaochong Tong, Xiwen Wang. Deep Convolution Neural Network Method for Skew Angle Detection in Text Images[J]. Laser & Optoelectronics Progress, 2021, 58(14): 1410007

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    Paper Information

    Category: Image Processing

    Received: Sep. 22, 2020

    Accepted: Nov. 14, 2020

    Published Online: Jun. 30, 2021

    The Author Email: Congzhou Guo (czguo0618@sina.cn)

    DOI:10.3788/LOP202158.1410007

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