Handwritten image recognition based on CNN algorithm

Zhihao Huang

doi:10.1117/12.3029698

21 June 2024 Handwritten image recognition based on CNN algorithm

Zhihao Huang

Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 131672J (2024) https://doi.org/10.1117/12.3029698
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China

Abstract

The optimization of image recognition technology provides a platform and possibility for the dissemination and protection of most of the information documents, especially font and number recognition, which is an important part of it. At present, the recognition accuracy of standard fonts and numerals has reached its maximum with continuous optimization, but the recognition of handwritten numerals still needs to be further improved. The aim of this paper is to test the correct recognition rate of handwritten numerals using a convolutional neural network model. Through the elaboration of the basic principles and structure of the neural convolutional network algorithm and the purpose of the article, the relevant test model was established. And the MINST dataset is used to train the model and test the recognition effect of handwritten numbers. Through experiments, the model used in this paper can correctly recognize most handwritten digits, thus satisfying the purpose of the experimental design, and providing new support for experiments on handwritten fonts.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhihao Huang "Handwritten image recognition based on CNN algorithm", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 131672J (21 June 2024); https://doi.org/10.1117/12.3029698

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available