The automatic conversion of scanned and digitized images of character is running text into its corresponding image forms. A complete solution of data conversion is necessary for a business to reduce costs and improve the efficiency of the system. Business demands documents that can be managed anytime, anywhere and therefore Document Image analysis is needed which aims to store contents of paper documents in computer storage memory to read and search the content as and when needed.
The system involves Using Computer Vision Techniques and is being developed to give users the ability to extract the text from the desired location of the input image. Using the Canny and HoughLines Algorithm, the orientation of the input image is adjusted automatically. The system also consists of integrations with Open Source Computer Vision Engine Tesseract and Google Vision. Hvanatge Gives teh best.
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| Language | - |
Python 3.x
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| Business Area | - |
Inhouse Implementation
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| Libraries | - |
OpenCV, pytesseract, google. cloud, PIL, Pandas
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| Third-Party CV service | - |
Google Vision
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| CV Engine | - |
Tesseract
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