Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)

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Research and Application of Digit Recognition Based on K-Nearest Neighbor Classifier

Authors
Bolin Lu1, *
1Daqing No.1 middle school, Daqing, Heilongjiang, 163256, China
*Corresponding author. Email: agreyry52971@student.napavalley.edu
Corresponding Author
Bolin Lu
Available Online 14 February 2024.
DOI
10.2991/978-94-6463-370-2_5How to use a DOI?
Keywords
optical recognition; number; image
Abstract

The electrical or mechanical translation of pictures of typed, handwritten, or printed text into machine-encoded text is known as optical character recognition (OCR). Pattern recognition, artificial intelligence, and computer vision are all areas of study in OCR. Early iterations operated on one typeface at a time and required training with photos of each character. modern systems that bring high precision to many fonts have now become a natural choice, supporting various image file formats for input. However, little research has been done on programs that specifically recognize numbers. The goal of this article is to perform digit recognition based on the KNN (k-nearest neighbor classifier). For digit recognition based on the KNN classifier, one can use the KNN algorithm to classify each character in an image. The image is first preprocessed and then each digit is segmented. The features of each digit are then extracted and used as input to the KNN classifier. The dataset comes from the MNIST (Modified National Institute of Standards and Technology database) dataset.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)
Series
Advances in Intelligent Systems Research
Publication Date
14 February 2024
ISBN
10.2991/978-94-6463-370-2_5
ISSN
1951-6851
DOI
10.2991/978-94-6463-370-2_5How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Bolin Lu
PY  - 2024
DA  - 2024/02/14
TI  - Research and Application of Digit Recognition Based on K-Nearest Neighbor Classifier
BT  - Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)
PB  - Atlantis Press
SP  - 36
EP  - 42
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-370-2_5
DO  - 10.2991/978-94-6463-370-2_5
ID  - Lu2024
ER  -