**The goal of this project is to build an object recognition system that can detect objects from an input image and identifying the detected objects on the image by drawing a rectangle around each object on the image and classify it to be one from a 5 objects (CAT, Laptop, Apple, Helicopter, and Car).
**Used concepts: Algorithms and Pattern Recognition.
**Used Algorithms:
**Feature Extraction: Features will be extracted of each object through using:
-> GLCM to extract 4 features (Contrast, Entropy, Energy and Homogeneity.
-> The run-length matrix to extract 11 features.
**Classification Algorithms:
-> Modified K-Nearest Neighbors (KNN).
-> R-Near Neighbors (RNN).
-> Support Vector Machine (SVM).