会议论文

Liu, Q.

英文

Advances in Intelligent Systems and Computing

2194-5357

2021

1274 AISC

448-455

10th International Conference on Computer Engineering and Networks, CENet 2020

16 October 2020 through 18 October 2020

Liu Q.Liu X.Shen T.Qiu X.

Springer Science and Business Media Deutschland GmbH

9789811584619

10.1007/978-981-15-8462-6_50

Acknowledgments. This work was supported by National Natural Science Foundation of China (61503128, 61772179), Hunan Provincial Natural Science Foundation of China (2020JJ4152), Science and Technology Plan Project of Hunan Province (2016TP1020), Scientific Research Fund of Hunan Provincial Education Department (18A333), Double First-Class University Project of Hunan Province (Xiangjiaotong [2018] 469), Postgraduate Scientific Research Innovation Project of Hunan Province (CX20190998), Degree & Postgraduate Education Reform Project of Hunan Province (2019JGYB266), Postgraduate Teaching Platform Project of Hunan Province (Xiangjiaotong [2019] 370–321).

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In this paper, a handwritten digit recognition system based on K-nearest neighbor algorithm is designed and implemented. By analyzing the application principle and steps of k-nearest neighbor algorithm in machine learning classifier, we design handwritten digit recognition in Python language. In order to improve the accuracy and accuracy of handwritten character recognition, the method of smooth denoising and character segmentation methods are used to preprocess the data, extract the structure and statistical features. The experiments had shown...