OCR with Keras, TensorFlow, and Deep Learning - PyImageSearch

In this tutorial, you will learn how to train an Optical Character Recognition (OCR) model using Keras, TensorFlow, and Deep Learning. For now, we'll primarily be focusing on how to train a custom Keras/TensorFlow model to recognize alphanumeric characters (i.e., the digits 0-9 and the letters A-Z). Building on today's post, next week we'll learn how we can use this model to correctly classify handwritten characters in custom input images. We'll be starting with the fundamentals of using well-known handwriting datasets and training a ResNet deep learning model on these data. To learn how to train an OCR model with Keras, TensorFlow, and deep learning, just keep reading. In the first part of this tutorial, we'll discuss the steps required to implement and train a custom OCR model with Keras and TensorFlow.