Use of artificial neural network in Bengali character recognition
conference contribution
posted on 2023-05-23, 12:38authored byBhattacharyya, D, Kim, TH, Lee, G-S
This paper describes how the Bengali characters are processed, trained and then recognized with the use of a back propagation Artificial neural network. Recognition is done on isolated Bengali character. The size and the font used for the characters are similar in both training and classification of the network. The images are first converted into grayscale and then to binary images. These images are then scaled to a fit a pre-determined area with a fixed but significant number of pixels. By extracting the characteristics points we formed the feature vectors, which in this case is simply a series of 0s and 1s of fixed length. Finally, an Artificial Neural Network is chosen for the training and classification process. The steps are simple, and a network is chosen for the training and recognition process. Researchers involved in recognition of good quality printed text in different scripts around the world have reported drastic decrease in recognition accuracy due to presence of touching characters in the text. So recognition is done here with isolated printed characters with size independent.
History
Publication title
Communications in Computer and Information Science 260: Proceedings of the 2011 International Conference on Signal Processing, Image Processing and Pattern Recognition
Volume
260
Editors
T-H Kim, H Adeli, C Ramos, B-H Kan
Pagination
140-152
ISBN
978-3-642-27182-3
Department/School
School of Information and Communication Technology
Publisher
Springer, Berlin, Heidelberg
Place of publication
Germany
Event title
2011 International Conference on Signal Processing, Image Processing and Pattern Recognition, SIP 2011
Event Venue
Jeju Island, South Korea
Date of Event (Start Date)
2011-12-08
Date of Event (End Date)
2011-12-10
Rights statement
Copyright 2011 Springer-Verlag Berlin Heidelberg
Repository Status
Restricted
Socio-economic Objectives
Expanding knowledge in the information and computing sciences