Run feature_extractor.py file to build features from the dataset.
Run svm_model.py file to get the models weights.
Run main.py file to predict the test image. The recognition is done by 3 different methods
1: Using svm weights
2: Using Template matching code is written in models.py file
3: Using corelation method code is written in models.py file
Requirements = pyradiomics, imutils, SimpleITK, opencv, sklearn.
Dataset is provided here = https://drive.google.com/open?id=1cBUkxuqCycztT7GrRKs9RAb13X6PADo7