aspg-3-392-1791417663 20261008000103 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Fusion: Practice and Applications FPA 2770-0070 2692-4048 2020 1 1 Hardik Agarwal Bharati Vidyapeeth’s College of Engineering, New Delhi, India Kanika Somani Bharati Vidyapeeth’s College of Engineering, New Delhi, India Shivangi Sharma Bharati Vidyapeeth’s College of Engineering, New Delhi, India Prerna Arora Bharati Vidyapeeth’s College of Engineering, New Delhi, India P. Singh Lamba Bharati Vidyapeeth’s College of Engineering, New Delhi, India Gopal Chaudhary Bharati Vidyapeeth’s College of Engineering, New Delhi, India In this paper, unique features of the segmented image samples are extracted by using two major feature extraction techniques: Local Binary Pattern (LBP) and Histogram of Oriented Gradients (HOG). After this, these features are fused to get more precise and productive outcomes. The average accuracy of the three distinct datasets that were generated using the LBP and HOG features are determined. To calculate the accuracy of the three distinct models, classification techniques like KNN and SVM, are adopted. 2020 22 31 392 https://creativecommons.org/licenses/by/4.0/ 10.54216/FPA.010103 https://www.americaspg.com/journal/3/article/392 https://www.americaspg.com/storage/3639.pdf