A-Z | 0-9 Handwritten Character Recognition Crop Tool Using Python | Complete Tutorial (English)

In this tutorial you will learn to implement a real time 'A-Z and 0-9 Handwritten Character Recognition Crop Tool' using Python and related modules such as Tensorflow, Keras, OpenCV and Numpy. This tutorial
has covered with 3 main sections such as Data Pre-processing, CNN Architecture and Real Time Application Implementation.

In data pre-processing we are going to merge two datasets, which consist of both A-Z handwritten characters and 0-9 handwritten digits respectively. Then the individual merged dataset is going to be fed in to our CNN and we are going to pick the best model which will be  created at the end of our model training phase. Then we are going to embed our trained CNN model to real time character cropping application and go through with interesting results.

Chapters/Sections
=================
00:01:52 - Data Pre-processing
00:27:00 - CNN Architecture
00:40:00 - Real Time Crop Tool Application

Download the project
==================
Github:
https://github.com/Sinsank/A-Z-0-9-Ha...
Google Drive: https://drive.google.com/drive/folder...

References
==========
Kaggle A-Z handwritten dataset: https://www.kaggle.com/sachinpatel21/...
MNIST dataset: http://yann.lecun.com/exdb/mnist/

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