Author - Vladimir Pesotskiy

Development of a document recognition system using OpenCV and Tesseract

The feature of input of user data taken from printed documents for automated enterprise solutions is currently in great demand.

Such documents include:

  • Official standard state documents, such as passport, personal insurance policy number (SNILS), driver’s license, birth certificate, etc.
  • Printed documents used in the company document flow made according to company templates.

Our company focuses on development of software based on machine learning, computer vision, image processing, and optical character recognition. In this article, we describe our experience in development of a textual template recognition system which includes an Android mobile app and a template control server.

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OpenCV to line production!

Issues

Many companies that produce really healthy beverages often need to control the quality of their products at one of the final stages.

Today we are going to discuss not the issue of checking the quality of the drink itself, but the method to control the level of liquid in the bottle and the position of the pasted label with the help of web cameras and Computer Vision.
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