International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 01 | Jan 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1 SHAPE AND TEXTURE BASED INTER-SPECIFIC HYBRID FISH SPECIES IMAGE RECOGNITION Lakew Tarekegn 1 , Tesfa Tegegn 2 Lakew Tarekegn Berihun UNIVERSITY OF GONDAR, COLLEGE OF INFORMATICS Information Technology Department Gondar, Ethiopia BAHIR DAR UNIVERSITY, COLLEGE OF INFORMATICS Information Technology Department Bahir Dar, Ethiopia Tesfa Tegegn(Phd) and Lakew T(Msc) , Dept. of Information Technology, Informatics College, State, Amhara, Country, Ethiopia ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Recently inter-specific hybridization is a common phenomenon in fresh water fish’s species. Natural hybridization is more common in fish than in other vertebrates, and non-native fish species which have been introduced extensive in a worldwide those are difficult to identify manually. However, inter specific hybridize among genetically divergent fish are often fertile, and provide good product that results in creation of survival fit species. In case of this nowadays a lot of works were done by depending on the computer in order to processing time to be reduced when the experts pass a key decision what type of fish species exist in under marine area as biologist and agricultural researcher. Due to this computer has been used for digital image recognition which has been extremely found and studied for this role work to get fast response of replied when it has been compared and contrast with human know how knowledge level with recent machine level knowledge one which has been depending on computer and provide more results which are accurate. Even though due to hybridization the agricultural experts has been faced a challenges and confusion to isolate and clearly tries to identify as well as recognize this occurring species based on morphological shapes and texture of fish species images. So that using these procedural techniques the researcher work provide attractive fish recognition based on their types of species. The detection, recognition and classification system is using the proposed procedural methods. Those procedural methods image processing approaches such as noise removal, image enhancement, image restoration, feature extraction, segmentation, filtering, histogram processing, countor tracking, edge detection, graye scale processing, Hsv color fish image based processing. Beside this, the study used Svm to classify and recognized those fish’s species using the interspecific values with a common morphological fish image shape and texture that the fish contained. This work scientifically contributed to recognize and classify that those complex interbreed fish gene type using feature extraction based on their