Artificial Intelligence with Python

Visualizing characters in an Optical Character Recognition database

Artificial neural networks can use optical character recognition. It is perhaps one of the most commonly sited examples. Optical Character Recognition (OCR) is the process of recognizing handwritten characters in images. Before we jump into building that model, we need to familiarize ourselves with the dataset. We will be using the dataset available at  http://ai.stanford.edu/~btaskar/ocr . You will be downloading a file called letter.data. For convenience, this file has been provided to you in the code bundle. Let's see how to load that data and visualize the characters.

Create a new python file and import the following packages:

import os import sys import cv2 import numpy as ...