Optical Character Recognition

OCR is a field of research in pattern recognition, artificial intelligence and computer vision.

Artificial INTELLIGENCE

Problem Statement

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.

Our Solution

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.

Artificial INTELLIGENCE

Project Info

Area -   Computer Vision, AI
Language -   Python 3.x
Business Area -   Inhouse Implementation
Libraries -   OpenCV, pytesseract, google. cloud, PIL, Pandas
Third-Party CV service -   Google Vision
CV Engine -   Tesseract
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