A comparision of digit recognition techniques
Loading...
Date
2012
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
University of Management and Technology
Abstract
Optical Character recognition (OCR) has been one of the most active areas of research during the last three decades [1-4]. While automatic recognition of computer printed characters is extremely successful, and many commercial products are available for machine printed character recognition. Human are very good at recognizing the written characters and can attain 100% accuracy on neatly written characters. But the automatic recognition of human written characters is still a challenging task and we are far from perfect automatic recognition of human written characters. The task is difficult because of the unlimited variation in the writing style of people and because of the noise introduced by the digitalizing process.
Description
Project Advisor:Mirza Mubasher Baig
Keywords
BS Thesis, Digital Record, Automatic Recognition