Backpropogation Neural Networks to Recognize Isolated Digits
No Thumbnail Available
Date
2010-07
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Optical Character Recognition is a field of research that has attracted
several researchers for the past several decades. Recognizing handwritten
characters pose several challenges, like different style of writing, pen depth and
thickness and quality of the scanned handwritten image. Digit recognition, a sub
field of character recognition, is the art of recognizing numbers from handwritten
images. They are used in various application areas like bank (cheque number
recognifion), vehicle tracking (license plate recognition), and Postal Zipcode(post
office).