This machine learning project, we will recognize handwritten characters, i.e, English alphabets from A-Z. This we are going to achieve by modeling a neural network that will have to be trained over a dataset containing images of alphabets.
Project Prerequisites--
Below are the prerequisites for this project:
Python (3.7.4 used) | IDE (Jupyter used)
Required frameworks are
Numpy (version 1.16.5) | cv2 (openCV) (version 3.4.2) | Keras (version 2.3.1) | Tensorflow (Keras uses TensorFlow in backend and for some image preprocessing) (version 2.0.0) | Matplotlib (version 3.1.1) | Pandas (version 0.25.1) |
Credits :
Download Dataset The dataset for this project contains 372450 images of alphabets of 28×2, all present in the form of a CSV file: https://www.kaggle.com/sachinpatel21/az-handwritten-alphabets-in-csv-format
A.V.BALAJEE