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Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

You're reading from  Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

Product type Book
Published in Feb 2020
Publisher Packt
ISBN-13 9781789531619
Pages 372 pages
Edition 3rd Edition
Languages
Authors (2):
Joseph Howse Joseph Howse
Profile icon Joseph Howse
Joe Minichino Joe Minichino
Profile icon Joe Minichino
View More author details

Table of Contents (13) Chapters

Preface 1. Setting Up OpenCV 2. Handling Files, Cameras, and GUIs 3. Processing Images with OpenCV 4. Depth Estimation and Segmentation 5. Detecting and Recognizing Faces 6. Retrieving Images and Searching Using Image Descriptors 7. Building Custom Object Detectors 8. Tracking Objects 9. Camera Models and Augmented Reality 10. Introduction to Neural Networks with OpenCV 11. Other Book You May Enjoy Appendix A: Bending Color Space with the Curves Filter

Recognizing handwritten digits with an ANN

A handwritten digit is any of the 10 Arabic numerals (0 to 9), written manually with a pen or pencil, as opposed to being printed by a machine. The appearance of handwritten digits can vary significantly. Different people have different handwriting, and with the possible exception of a skilled calligrapher a person does not produce identical digits every time he or she writes. This variability means that the visual recognition of handwritten digits is a non-trivial problem for machine learning. Indeed, students and researchers in machine learning often test their skills and new algorithms by attempting to train an accurate recognizer for handwritten digits. We will approach this challenge in the following manner:

  1. Load data from a Python-friendly version of the MNIST database. This is a widely used database containing...
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