
Handwritten Gurumukhi Character Recognition
Recognition of Handwritten Gurumukhi Characters using Artificial Neural Networks
LAP Lambert Academic Publishing
Published on 26. September 2011
Book
Paperback/Softback
68 pages
978-3-8465-0904-3 (ISBN)
Description
This book on Handwritten Gurumukhi Character Recognition describes Neural Network technique for recognition of handwritten Gurumukhi Characters. All techniques used for HGCR are descibed in detail. All images of characters i.e. after digitization, Preprocessing and segmentation are shown for better understanding. It also aims at exposing the students to use this technique for further research work for recognition of words in their native langauage. Salient Features: . Digitization Technique for converting Handwritten Characters into Digital Image. . Pre-processing Technique for removing noise from handwritten Characters. . Segmentation Techniques for dividing characters . Feature Extraction technique for resembling the characters . Testing of characters using Arificial Neural Networks . Training of characters
More details
Language
English
Place of publication
Germany
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 5 mm
Weight
119 gr
ISBN-13
978-3-8465-0904-3 (9783846509043)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Mr. Naveen Garg is Asst. Prof. in Amity University, India. He has received his Bachelor's degree(B.Tech.) in Information Technology from G.J.U.S.& T., Hisar(India) in 2007 and Master of engg. (M.E.) in Software engineering from Thapar University, Patiala(India). He has published more than 20 research papers in International Journals & conferences.