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This article mainly shows you the "sample analysis of TH-OCR character recognition technology", which is easy to understand and clear. I hope it can help you solve your doubts. Let me lead you to study and learn the article "sample Analysis of TH-OCR character recognition Technology".

With the rapid development of information flow technology and multimedia technology, multimedia information based on image, sound and video has rapidly become the mainstream of information exchange and service, and the pages on the Internet have gradually added text messages in the style of image, video and so on. Diversified development has enriched people's lives, but at the same time, it has also brought a series of problems to government and television workers who need to obtain text information. How to monitor the text in which web pages such as pictures, videos, advertisements, etc., and convert the text into editable text?

How to quickly extract text from videos and pictures and organize materials has always been a difficult problem for media friends. At present, this problem has been solved by OCR character recognition technology, TH-OCR character recognition products, which solves the problem that OCR products can not recognize video text, and saves the trouble of re-entering text.

Character recognition not only supports reading images in TIFF, JPEG, PNG and BMP formats, but also supports avi, rmvb, rm, MP4 and other video formats. It can recognize pure English, simplified and traditional Chinese and other video images. In addition, it can also automatically analyze the subtitles of video images, obtain the position and size information of recognition characters in the original text, and recognize specified areas. OCR text recognition development languages are also varied. VC, VB, JAVA, DEPHI and so on can support Zhong'an future character recognition products.

With the progress of technology, OCR technology is also developing continuously. We believe that in the IT era, the emergence of character recognition products will meet the needs of different industries for character recognition.

The above is all the contents of the article "sample Analysis of TH-OCR character recognition Technology". Thank you for reading! I believe we all have a certain understanding, hope to share the content to help you, if you want to learn more knowledge, welcome to follow the industry information channel!

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