research paper final after.docx - International Journal of Undergraduate Research 1(1 01-06 2019 e-ISSN \u00a9 RMP Publications 2019 DOI

research paper final after.docx - International Journal of...

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Alien Fish Detection for Malaysia Waters Species Recognition using Convolutional Neural Network Algorithm Mohamad Faisallah Zaki1, Shahirah Mohamed Hatim1, and Nur Azmina Mohamad Zamani1 1Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perak Branch, Tapah Campus, 35400 Tapah Road, Malaysia Abstract: The fish population is getting less attention than other vertebrates. Alien fish is a group of fish that migrates from one country to another. Day by day, various local species in Malaysia waters are threatened by alien fishes such as Cichla Ocellaris and Phractocephalus Hemioliopterus that have bigger size and appetite. This group of fish threatens local species aggressively; eating all that fits their mouth and indirectly destroys some local species in their habitat. This causes negative effects such as altering existing natural surroundings and disturbing the balance of the ecosystem. Ichthyology Malaysia is aware of this issue and has raised concern for the nearly extinct species but still in the progress of research work. Therefore, the project aims to recognize foreign fish using the Convolutional Neural Network algorithm and to develop prototype for the recognition of fish species detection for conservation purpose. The process begins with collecting the dataset by downloading images of the fish. The images then need to be pre-processed by changing the name of files as well as the files format. After the dataset is ready to be used, the

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