Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/11601
Title: Handwritten Gujarati Character Recognition based On Discrete Cosine Transform
Authors: Ardeshana, Madhuree
Sharma, Ankit
Adhyaru, D. M.
Zaveri, Tanish
Keywords: Handwritten Gujarati Characters
Discrete Cosine Transform
Naïve Bayes Classifier
IC Faculty Paper
Faculty Paper
ITFIC016
ITFIC002
ITFEC008
Issue Date: 3-Apr-2016
Citation: IRF-ieeeforum International Conference, April 3, 2016, Pune, India, Page No. 23 - 26
Series/Report no.: ITFIC016-8;
Abstract: Gujarati script is used by more than 600 million people around the world. Handwritten character recognition of Gujarati script is important area of research due to its wider applications. The work done for handwritten Gujarati character recognition is negligible in literature. Here we have suggest a method based on Discrete Cosine Transform (DCT) as feature extraction method and Naïve Bayes (NB) classifier for classification of characters. For experiment database used here is around 22000 samples. The result obtained from above setup gives good accuracy.
URI: http://10.1.7.192:80/jspui/handle/123456789/11601
ISSN: 978-93-85973-95-6
Appears in Collections:Faculty Papers, E&I

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