Opencv-ocrGitHub

A comprehensive tutorial for OCR in python using Tesseract-OCR and OpenCV - NanoNets/ocr-with-tesseract.

Text recognition with OpenCV and deep learning. Contribute to Qengineering/OpenCV_OCR_DNN development by creating an account on GitHub.

Using OpenCV, we can pre-process images eliminating the excess of information. In the file image-preprocessing.ipynb, we find the proper image pre-process based ...

Prepare your images for Optical Character Recognition APIs using OpenCV. License. MIT license · 5 stars 1 fork Branches Tags Activity.

OCR stands for Optical Character Recognition. It is a technology that recognizes text within a digital image. It is commonly used to recognize text in ...

OpenCV + Tesseract Text Recognition. This project is extracted from this amazing blog post of Adrian Rosebrock at Pyimagesearch.

Image preprocessing is a key step to achieve an efficient and accurate OCR program. This step is mainly to enhance image quality and optimize the next steps.

Step 1: Install and import modules¶ · Step 2: Image loading and text recognition using EasyOCR¶ · Step 3: Overlay recognized text on image using OpenCV¶.

OpenCV Optical Character Recognition with Webcam. Installation: pip install opencv-python pip install random pip install json pip install requests

In order for OCR to be performed on a image, several steps must be performed on the source image. Segmentation is the process of identifying the regions of ...