首页|University of Science and Technology Beijing Researcher Targets Optical Character Recognition (Research on a Web System Data- Filling Method Based on Optical Character Recognition and Multi- Text Similarity)
University of Science and Technology Beijing Researcher Targets Optical Character Recognition (Research on a Web System Data- Filling Method Based on Optical Character Recognition and Multi- Text Similarity)
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A new study on optical character recognition is now available. According to news reporting from Beijing, People's Republic of China, by NewsRx journalists, research stated, "In the development of web systems, data uploading is a relatively important function." Our news reporters obtained a quote from the research from University of Science and Technology Beijing: "The traditional method of uploading data is to manually fill out forms, but when the data to be uploaded mostly exist in the form of form images, and the form content contains a lot of similar field information and irrelevant edge information, using traditional methods is not only time-consuming and labor-intensive, but also prone to errors. This requires a technology that can automatically fill in complex form images. OCR is an optical character recognition technology that can convert images into digitized text data using computer vision methods. However, using this technology alone cannot complete the tasks of extracting relevant data and filling corresponding fields."
University of Science and Technology BeijingBeijingPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningOptical Character RecognitionTechnology
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