Oral lichen planus is a potentially malignant disorder with a considerable risk of malignant transformation. Thus intervention at an earlier level could improve prognosis and also avoid cancer formation. Image analysis and pattern classification methods are already on the rising curve in the field of cancer and precancer research. This research has utilised machine learning algorithms for classifying OLP images using histogram and BICC features with SVM and RBFNN classifiers. The results are evaluated and compared among different methods.
