Handwritten Gujarati Character Recognition based On Discrete Cosine Transform

Ardeshana, Madhuree; Sharma, Ankit; Adhyaru, D. M.; Zaveri, Tanish

Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/11601

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DC Field	Value	Language
dc.contributor.author	Ardeshana, Madhuree
dc.contributor.author	Sharma, Ankit
dc.contributor.author	Adhyaru, D. M.
dc.contributor.author	Zaveri, Tanish
dc.date.accessioned	2023-04-20T11:06:08Z	-
dc.date.available	2023-04-20T11:06:08Z	-
dc.date.issued	2016-04-03
dc.identifier.citation	IRF-ieeeforum International Conference, April 3, 2016, Pune, India, Page No. 23 - 26	en_US
dc.identifier.issn	978-93-85973-95-6
dc.identifier.uri	http://10.1.7.192:80/jspui/handle/123456789/11601	-
dc.description.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.	en_US
dc.relation.ispartofseries	ITFIC016-8;
dc.subject	Handwritten Gujarati Characters	en_US
dc.subject	Discrete Cosine Transform	en_US
dc.subject	Naïve Bayes Classifier	en_US
dc.subject	IC Faculty Paper	en_US
dc.subject	Faculty Paper	en_US
dc.subject	ITFIC016	en_US
dc.subject	ITFIC002	en_US
dc.subject	ITFEC008	en_US
dc.title	Handwritten Gujarati Character Recognition based On Discrete Cosine Transform	en_US
dc.type	Faculty Papers	en_US
Appears in Collections:	Faculty Papers, E&I

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