Application and optimization of machine learning algorithms for optical character recognition in complex scenarios

In the era of artificial intelligence, the technology of optical character recognition under complex backgrounds has become particularly important. This article investigated how machine learning algorithms can improve the accuracy of text recognition in complex scenarios. By analyzing algorithms suc...

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Bibliographic Details
Published in:	Journal of intelligent systems Vol. 34; no. 1; pp. 161 - 84
Main Authors:	Liu, Liming, Yang, Dexin, Chen, Juntao
Format:	Journal Article
Language:	English
Published:	Berlin De Gruyter 01.01.2025 Walter de Gruyter GmbH
Subjects:	Accuracy Algorithms Artificial intelligence automated machine learning algorithms Automation Big Data Cluster analysis Clustering Data processing Deep learning Efficiency Machine learning machine learning algorithms Neural networks Optical character recognition Software Support vector machines system implementation User satisfaction Vector quantization
ISSN:	2191-026X, 0334-1860, 2191-026X
Online Access:	Get full text
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