Incept-N

dc.contributor.author	Junayed, Masum Shah
dc.contributor.author	Jeny, Afsana Ahsan
dc.contributor.author	Neehal, Nafis
dc.contributor.author	Ahmed, Eshtiak
dc.contributor.author	Hossain, Syed Akhter
dc.date.accessioned	2021-08-11T09:49:21Z
dc.date.available	2021-08-11T09:49:21Z
dc.date.issued	2019-07-16
dc.identifier.uri	http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5955
dc.description.abstract	Nationality of a human being is a well-known identifying characteristic used for every major authentication purpose in every country. Albeit advances in application of Artificial Intelligence and Computer Vision in different aspects, its’ contribution to this specific security procedure is yet to be cultivated. With a goal to successfully applying computer vision techniques to predict a human’s nationality based on his facial features, we have proposed this novel method and have achieved an average of 93.6% accuracy with very low mis-classification rate.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Communications in Computer and Information Science, Springer	en_US
dc.subject	Nationality	en_US
dc.subject	Artificial intelligence	en_US
dc.subject	Computer vision	en_US
dc.title	Incept-N	en_US
dc.title.alternative	a Convolutional Neural Network Based Classification Approach for Predicting Nationality from Facial Features	en_US
dc.type	Article	en_US