An Optical Character Recognition of Handwritten English Letters using Artificial Neural Networks (Presentation Topic: Pattern Recognition) Optical
Question:
An Optical Character Recognition of Handwritten English Letters using Artificial Neural Networks (Presentation Topic: Pattern Recognition) Optical character recognition or optical character reader (OCR) is the automated conversion of images of typed, handwritten, or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo (e.g., the text on signs and billboards in a landscape photo) or subtitle text superimposed on an image (e.g., from a television broadcast). Build an OCR using Artificial Neural Networks to identify Handwritten English Letters. You may use the following data-set: https://www.kaggle.com/crawford/emnist
(must develop the idea assigned to using Python.
Fundamentals of Physics
ISBN: 978-0471758013
8th Extended edition
Authors: Jearl Walker, Halliday Resnick