CV OCR For Free

OpenCV (Open source computer vision) is a library of programming functions mainly aimed at real-time computer vision.OpenCV package is used to read an image and perform certain image processing techniques. Python-tesseract is a wrapper for Google's Tesseract-OCR Engine which is used to recognize text from images.

Optical character recognition or OCR refers to a set of computer vision problems that require us to convert images of digital or hand-written text images to machine readable text in a form your computer can process, store and edit as a text file or as a part of a data entry and manipulation software.

Using Tesseract with OpenCV's EAST detector makes for a great combination. Tesseract, a highly popular OCR engine, was originally developed by Hewlett Packard in the 1980s and was then open-sourced in 2005. Google adopted the project in 2006 and has been sponsoring it ever since.

Optical Character Recognition, or OCR, is a technology that enables you to convert different types of documents, such as scanned paper documents, PDF files or images captured by a digital camera into editable and searchable data.

OpenCV is the huge open-source library for the computer vision, machine learning, and image processing and now it plays a major role in real-time operation which is very important in today's systems. By using it, one can process images and videos to identify objects, faces, or even handwriting of a human.

Use OpenCV's EAST text detection model to detect the presence of text in an image. Extract the text Region of Interest (ROI) from the image using basic image cropping/NumPy array slicing. Take the text ROI, and then pass it into Tesseract to actually OCR the text.

Image Contours It is a way to identify the structural outlines of an object in an image. It is helpful to identify the shape of an object. OpenCV provides a findContours function in which you need to pass canny edges as a parameter.