Build a Document Scanner with OpenCV

OpenCV is a library written in C++ aimed to provide an infrastructure for computer vision and machine learning. The library contains more than 2500 algorithms that are used for facial detection, gesture recognition, augmented reality, tracking moving objects, identifying objects, etc. In this tutorial, we will create a simple document scanner using the OpenCV library.

Transfer Learning with Keras, TensorFlow, and Python

I mentioned in the previous tutorial that there are two ways to do transfer learning via feature extraction: Or we can use feature extraction like this: We already saw in the previous tutorial how to do transfer learning with the second option. So in today’s blog post, I will show you how to do transfer learning via feature extraction with

Number Plate Detection with OpenCV and Python

In this tutorial, we will see how to use OpenCV Haar Cascades to detect license/number plates. Haar cascade is a type of machine learning algorithm that is used for object detection. It was first introduced in 2001 by Paul Viola and Michael Jones in the paper Rapid Object Detection using a Boosted Cascade of Simple Features. Now to