Natural scene text recognition based on artificial intelligence machine learning

Jun Yin; Jianye Zhang; Degao Li

doi:10.1117/12.2685586

15 August 2023 Natural scene text recognition based on artificial intelligence machine learning

Jun Yin, Jianye Zhang, Degao Li

Proceedings Volume 12719, Second International Conference on Electronic Information Technology (EIT 2023); 1271944 (2023) https://doi.org/10.1117/12.2685586
Event: Second International Conference on Electronic Information Technology (EIT 2023), 2023, Wuhan, China

Abstract

The text of physical scene images often contains a lot of accurate and advanced semantic information. Due to the rapid development of mobile networks and computer vision technology, this information has been widely used in applications such as geographic location, license plate identification, and unmanned driving. Therefore, this article mainly investigates the natural scene text recognition of artificial intelligence machine learning, and understands the relevant basic theories of natural scene text recognition on the basis of literature data, and then renews the natural scene text recognition using artificial intelligence machine learning, and test the quoted text recognition algorithm. The conclusion of the test is that the recognition accuracy of the algorithm in this paper is 83.7%, so the natural scene recognition model designed in this paper is effective.

Citation Download Citation

Jun Yin, Jianye Zhang, and Degao Li "Natural scene text recognition based on artificial intelligence machine learning", Proc. SPIE 12719, Second International Conference on Electronic Information Technology (EIT 2023), 1271944 (15 August 2023); https://doi.org/10.1117/12.2685586

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