Fish Recognition based on HOG Feature Extraction using SVM Prediction
Ms. P. Antony Seba, Ms. S. Rama Subbu Laskhmi, Ms. P. Umamaheswari
Abstract: Fish image recognition and prediction is a challenging task. This Paper gives an idea about recognition of fish image using correlation coefficient and then Histogram of oriented Gradient (HOG).Finally the fish images are classified based on their features using Support Vector Machine (SVM).This paper aims to detect which species of fish appears on a fishing boat, based on images captured from boat cameras of various angles and this can be used to prevent fishing of endangered fishes.
Keywords: Histogram of oriented Gradient (HOG), Support Vector Machine (SVM), Fish Recognition.
This work is licensed under a Creative Commons Attribution 4.0 International License.How to Cite:
[1] Ms. P. Antony Seba, Ms. S. Rama Subbu Laskhmi, Ms. P. Umamaheswari, βFish Recognition based on HOG Feature Extraction using SVM Prediction,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.6554