Indigenous Fish Classification of Bangladesh using Hybrid Features with SVM Classifier

In Computer Vision, automatic processing system gaining its popularity for its powerful classification and detection ability. Indigenous fish is an important element in natural food system which established the main diet in rural households. Hence, the classification of indigenous fish plays a vital role in authentication, preservation, and production. In this paper, we introduce a Hybrid Local Binary Pattern (HLBP), an adaptive threshold based hybrid feature descriptor which extracts sign and magnitude from an image. Afterward, we use different kernels of SVM for classification.We have also created a new indigenous fish dataset namely BDIndigenousFish2019 which contains images of eight different Bangladeshi fish species. The experimental result on BDIndigenousFish2019. The proposed HLBP is implemented for the classification of some indigenous fish…