Acta Photonica Sinica, Volume. 51, Issue 11, 1111001(2022)

Handwritten Font Classification Method Based on Ghost Imaging

Ruyu YAN1, Xiaoxia WANG1、*, Jiangtao XI1,2、**, Fengbao YANG1, and Daerhan BAO3
Author Affiliations
  • 1School of Information and Communication Engineering,North University of China,Taiyuan 030051,China
  • 2School of Electrical Computer and Telecommunications Engineering,University of Wollongong,Wollongong NSW 2522,Australia
  • 3Xi′an Microelectronice Technology Institute,Xi′an710054,China
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    References(21)

    [1] WANG Yuxiang, WANG Ruijin, LI Dongfen et al. Improved handwritten digit recognition using quantum k-nearest neighbor algorithm[J]. International Journal of Theoretical Physics, 58, 1-10(2019).

    [2] AHLAWAT S, CHOUDHARY A. Hybrid CNN-SVM classifier for handwritten digit recognition[J]. Procedia Computer Science, 167, 2554-2560(2020).

    [3] SENTHIL T, RAJAN C, DEEPIKA J. An improved optimization technique using deep neural networks for digit recognition[J]. Soft Computing, 25, 1647-1658(2020).

    [4] STREKALOV D V, SERGIENKO AV, KLYSHKO D N et al. Observation of two-photon“ghost"interference and diffraction[J]. Physical Review Letters, 74, 3600-3603(1995).

    [5] ASUNDI A K, LING Tianai, YIN Cheng et al. Optical image encryption via high-quality computational ghost imaging using iterative phase retrieval[J]. Laser Physics Letters, 15, 34-39(2018).

    [6] TAO Yong, WANG Xiaoxia, YANG Fengbao. Edge detection method based on high-pass filter ghost imaging[J]. Laser & Optoelectronics Progress, 57, 021101(2020).

    [7] LE Mingnan, WANG Gao, ZHENG Huabin et al. Underwater computational ghost imaging[J]. Optics Express, 25, 22859-22868(2017).

    [8] CHEN Yi, FAN Xiang, CHENG Yubao et al. Single-arm compressed sensing ghost imaging of light intensity diffusion function analysis method[J]. Acta Photonica Sinica, 45, 0911002(2016).

    [9] HE Xing, ZHAO Shengmei, WANG Le. Handwritten digit recognition based on ghost imaging with deep learning[J]. Chinese Physics B, 30, 249-254(2021).

    [10] CAO Jianing, ZUO Yuhui, WANG Huahua et al. Single-pixel neural network object classification of sub-Nyquist ghost imaging[J]. Applied Optics, 60, 9180-9187(2021).

    [11] LI Baoqi, HE Yuyao. An improved resnet based on the adjustable shortcut connections[J]. IEEE Access, 6, 18967-18974(2018).

    [12] YAN Guoqing, YANG Fengbao, WANG Xiaoxia et al. Computational ghost imaging based on orthogonalized sinusoidal speckle[J]. Laser & Optoelectronics Progress, 57, 041019(2020).

    [13] GAO Zhujun, YIN Jianhua, FU Xiquan et al. Imaging quality improvement of ghost imaging in scattering medium based on Hadamard modulated light field[J]. Applied Optics, 59, 8472-8477(2020).

    [14] AN Xiaofeng, LI Yanqiu, MA Haiyu et al. Research on threshold processing of Hadamard code modulation correlation imaging[J]. Infrared and Laser Engineering, 47, 148-153(2018).

    [15] XUE Yu, TONG Yiling, Yuan Ziming et al. Handwritten character recognition based on improved convolutional neural network[J]. Intelligent Automation & Soft Computing, 29, 497-509(2021).

    [16] WANG Fei, WANG Hao, WANG Haichao et al. Learning from simulation: an end-to-end deep-learning approach for computational ghost imaging[J]. Optics Express, 27, 25560-25572(2019).

    [17] WU Heng, WANG Ruizhou, ZHAO Genping et al. Sub-Nyquist computational ghost imaging with deep learning[J]. Optics Express, 28, 3846-3853(2020).

    [18] FENG Wei, SUN Xingyu, LI Xiuhua et al. High-speed computational ghost imaging based on an auto-encoder network under low sampling rate[J]. Applied Optics, 60, 4591-4598(2021).

    [19] XUAN Liu, TAI Linhan, CHENG Zhou et al. Computational ghost imaging based on array sampling[J]. Optics Express, 29, 42772-42786(2021).

    [20] XIONG Feng, HE Di, LIU Yujie et al. Pneumonia image classification based on improved VGG19 convolutional neural network (invited)[J]. Acta Photonica Sinica, 50, 1010001(2021).

    [21] ZHAO Xiaoqiang, SONG Zhaoyang. Adam-optimized CNN super-resolution reconstruction[J]. Journal of Frontiers of Computer Science and Technology, 13, 858-865(2019).

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    Ruyu YAN, Xiaoxia WANG, Jiangtao XI, Fengbao YANG, Daerhan BAO. Handwritten Font Classification Method Based on Ghost Imaging[J]. Acta Photonica Sinica, 2022, 51(11): 1111001

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    Paper Information

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    Received: Feb. 6, 2022

    Accepted: Mar. 14, 2022

    Published Online: Dec. 13, 2022

    The Author Email: Xiaoxia WANG (wangxiaoxia@nuc.edu.cn), Jiangtao XI (20180143@nuc.edu.cn)

    DOI:10.3788/gzxb20225111.1111001

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