Identification of Handwritten Characters using Machine Learning

The book gives an overview of the various steps involved in handwritten character recognition. It also familiarizes certain machine learning techniques. The performance of these techniques is compared based on some parameters for recognition of similar shaped handwritten Hindi characters. The importance of feature selection and its dimensionality is also shown. The key feature analyzed is how well a classifier performs if it is trained with data-set consisting of target as well as non-target characters.

About the author

Sheetal Dabra received her ME Degree in CSE from Punjab University, Chandigarh in 2012 and B-Tech Degree from Punjab Technical University, Jalandhar in 2005. She is Assistant Professor in CSE Department at CCET, Chandigarh and have four years of teaching experience. Her area of interest includes neural networks.

Product details

• Authors: Sunil Agrawal, Sheeta Dabra, Sheetal Dabra
• Publisher: LAP Lambert Academic Publishing
• Languages: English, German
• Product format: Paperback / Softback
• Released: 01.01.2013
• EAN: 9783659390500
• ISBN: 978-3-659-39050-0
• No. of pages: 84
• Subjects: Guides; Natural sciences, medicine, IT, technology > IT, data processing > Miscellaneous