Howtosignalprocessing
- What is handwritten digit classification?
- What are the different techniques that can be used for handwritten digit recognition?
- What is the purpose of handwritten digit recognition?
What is handwritten digit classification?
Handwritten digit recognition is the ability of a computer to recognize the human handwritten digits from different sources like images, papers, touch screens, etc, and classify them into 10 predefined classes (0-9). This has been a topic of boundless-research in the field of deep learning.
What are the different techniques that can be used for handwritten digit recognition?
There are a number of ways and algorithms to recognize handwritten digits, including Deep Learning/CNN, SVM, Gaussian Naive Bayes, KNN, Decision Trees, Random Forests, etc.
What is the purpose of handwritten digit recognition?
Handwritten character recognition is one of the practically important issues in pattern recognition applications. The applications of digit recognition include in postal mail sorting, bank check processing, form data entry, etc.
