Identification of Freshwater Fish Types Using Linear Discriminant Analysis (LDA) Algorithm

Fish as aquatic animals have several physiological mechanisms that land do not have. Differences in habitat cause fish to adapt environmental conditions, for example live water, both fresh and marine waters. The number of species or types freshwater means knowledge the fish. Identification images is useful community, because different nutritional content, prices processing each type. Likewise cultivators, identification can be providing handling management has a cultivation method. purpose this study was identify using Linear Discriminant Analysis (LDA) algorithm based on color feature extraction HSV. LDA ability reduce dimensions by dividing data into groups maximizing distance between are more. To make process easier, with HSV used extract variety information from image. Based results accuracy test, it produces value 84.5%, which included good category.