• Laser & Optoelectronics Progress
  • Vol. 57, Issue 16, 161025 (2020)
Guoqiang Xia and Zhenhong Shang*
Author Affiliations
  • Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
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    DOI: 10.3788/LOP57.161025 Cite this Article Set citation alerts
    Guoqiang Xia, Zhenhong Shang. Bronze Inscription Recognition Method Based on Automatic Pruning Strategy[J]. Laser & Optoelectronics Progress, 2020, 57(16): 161025 Copy Citation Text show less
    References

    [1] Ye Z B, Li Y Y[M]. Brief discussion on bronze inscriptions in Shang and Zhou dynasties(1998).

    [2] Bai R, Xu Y C, Li Y L et al. Digital Character recognition technique for intelligent vehicles in road scenes[J]. Laser & Optoelectronics Progress, 56, 191506(2019).

    [3] Fang D B, Feng G, Cao H Y et al. Handwritten formula symbol recognition based on multi-feature convolutional neural network[J]. Laser & Optoelectronics Progress, 56, 072001(2019).

    [4] Lin Q, Xia J F, Tu Z Z et al. Discrimination of handwritten and printed texts based on frame features and Viterbi decoder[J]. Laser & Optoelectronics Progress, 56, 061003(2019).

    [5] Li X X. Research and implementation of management and recognition system of Shang and Zhou dynasties bronze inscription[D]. Hefei: Anhui University, 12-29(2014).

    [6] Li W Y, Cao B, Cao C S et al. A deep learning based method for bronze inscription recognition[J]. Acta Automatica Sinica, 44, 2023-2030(2018).

    [7] Zhao R Q, Wang H Q, Wang K et al. Recognition of bronze inscriptions image based on mixed features of histogram of oriented gradient and gray level co-occurrence matrix[J]. Laser & Optoelectronics Progress, 57, 121003(2020).

    [8] LeCun Y, Bottou L, Bengio Y et al. Gradient-based learning applied to document recognition[J]. Proceedings of the IEEE, 86, 2278-2324(1998).

    [9] Song H, Huizi M, trained quantization, huffman coding[EB/OL]. -02-15)[2019-10-20]. https:∥arxiv., org/abs/1510, 00149(2016).

    [10] Hao L, Asim K, Igor D et al. -03-10)[2019-10-20]. https:∥arxiv., org/abs/1608, 08710(2017).

    [11] Hu H Y, Peng R, Tai Y W et al. -06-12)[2019-10-20]. https:∥arxiv., org/abs/1607, 03250(2016).

    [12] Luo J H, Zhang H, Zhou H Y et al. ThiNet: pruning CNN filters for a thinner net[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41, 2525-2538(2019).

    [13] Simonyan K. -04-10)[2019-10-20]. https:∥arxiv., org/abs/1409, 1556(2015).

    [14] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York:IEEE, 16541111(2016).

    Guoqiang Xia, Zhenhong Shang. Bronze Inscription Recognition Method Based on Automatic Pruning Strategy[J]. Laser & Optoelectronics Progress, 2020, 57(16): 161025
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