Abstract
The research on the image pattern recognition has always been a hot topic. In this paper, the automatic identification technology of image is studied, the research contents include image preprocessing, image feature extraction and image content identification. BP neural network is used for the research on the image content identification. The processing methods in this article include the following steps, first, the pre-processing of the image. Including image de-noising and feature extraction; second, training the BP neural network with the processed handwriting character image; third, the recognition test of the unknown handwritten character. 95% recognition accuracy is realized, and the research has some practical application value.
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References
Su, S.H.: Research on image recognition technology based on vehicle license plate. Softw. Eng. 12, 57–58 (2015)
Gu, Y.W., Li, P., Tao, W.H., Tian, S.K.: Handwriting postal codes recognition based on improved BP neural network. J. LiaoNing Univ. Pet. Chem. Technol. 28, 52–58 (2008)
Chen, R., Tang, Y.: Writer verification for Chinese handwritten document based on keywords extraction. J. Sichuan Univ. (Natural Science Edition) 50, 719–727 (2013)
Meng, L.J., Wen, B., Zhang, X.C.: Research and design of print document recognition technology. Sci. Technol. Eng. 15, 185–190 (2015)
Zhu, H.P.: Several key technical problems in web data capture. J. Ningbo Inst. Educ. 18, 66–69 (2016)
Zhang, Y., Guo, Q., Wang, J.Y.: Big data analysis using neural networks. J. Sichuan Univ. (Engineering Science Edition) 49, 9–18 (2017)
Qiu, Y.Q.: Large capacity lossless information hiding in images using integer transform. J. Image Graph. 19, 28–35 (2014)
The MNIST database of handwritten digits. http://yann.lecun.com/exdb/mnist/
Institute of Automation, Chinese Academy of Sciences. http://www.nlpr.ia.ac.cn/databases/handwriting/Download.html
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Sun, Y., Guo, Z., Qiu, W. (2018). Research on the Handwriting Character Recognition Technology Based on the Image Statistical Characteristics. In: Yuan, H., Geng, J., Liu, C., Bian, F., Surapunt, T. (eds) Geo-Spatial Knowledge and Intelligence. GSKI 2017. Communications in Computer and Information Science, vol 849. Springer, Singapore. https://doi.org/10.1007/978-981-13-0896-3_2
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DOI: https://doi.org/10.1007/978-981-13-0896-3_2
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