Handwritten text recognition has been an issue since the earliest automatic computers were required to distinguish individual characters in handwritten manuscripts.
Python provides a solution for this problem by the use of the package, scikit-learn.
In this ML Analysis, we will be using Support Vector Machine (SVM) Supervised Algorithm to recognize hand written digits from built-in dataset within scikit-learn. We will use the Support Vector Classification (SVC) for this purpose.
This is a basic project for hand written digits recognition model for a virtual internship which I was a part of, and I performed the following tasks:
-
Model Training
-
Result Analysis
In the attached Jupyter Notebook file, I have completed a lot of different analysis to prove this hypothesis, and I will be attaching a blog referring to my resultant analysis of this problem in a future commit.
For more information, give a read to my blog based on this project: https://medium.com/@abdullahw72/recognizing-handwritten-digits-with-scikit-learn-5f698eb26681