Local Fish Recognition

dc.contributor.author	Alam, Jahangir
dc.contributor.author	Shuva, Subrota Das
dc.contributor.author	Saha, Prianka
dc.date.accessioned	2020-07-01T11:55:39Z
dc.date.available	2020-07-01T11:55:39Z
dc.date.issued	2019-09-12
dc.identifier.uri	http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/3989
dc.description.abstract	Our local fish are becoming extinct day by day. Known for the extinction of local fish in Bangladesh and the people of our country, we will detect local fish.in this paper a methodology has been detect to local fish. This paper will be identified by using color, shape, texture processing. In this research work we have achieved a huge accuracy of 88% using Random Forest Classifier. In this paper an automated approach is developed to detect local fish and recognition by using machine vision based image processing techniques which is implemented in “PYTHON” programming language on “ANACONDA” platform including a machine learning algorithm with the Random Forest Classifier.	en_US
dc.language.iso	en	en_US
dc.publisher	Daffodil International University	en_US
dc.subject	System automation	en_US
dc.subject	Information Technology	en_US
dc.title	Local Fish Recognition	en_US
dc.title.alternative	A Machine Vision Approach	en_US
dc.type	Other	en_US