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Optical character recognition with different languages
- 1 University of Wuxi Taihu
- 2 University of Manchester
* Author to whom correspondence should be addressed.
Abstract
Optical character recognition is the combination of optical technology and computer technology to identify text in an image and then recognize the text content in the image, providing individuals with a great deal of ease in their daily lives. Document text recognition, natural scene text recognition, bill text recognition, and ID card recognition have been used in daily life, but there are still many factors that lead to inaccurate identification and detection. Therefore, different texts, patterns or characters are suitable for different types of Optical character recognition. In this paper, we can learn about the Optical character recognition operation methods and find the similarities and differences through researching the technical routes and four different types of Optical character recognition. In addition, by comparing the Optical character recognition of several commonly used languages, the advantages and disadvantages of each method can be analysed.
Keywords
optical character recognition, different languages, advanced technology
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Cite this article
Wu,Y.;Zhang,Y. (2023). Optical character recognition with different languages. Applied and Computational Engineering,17,60-64.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 5th International Conference on Computing and Data Science
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