Image processing based auto insurance claims fraud detections

Abstract

" One of the major challenges faced by insurance companies in the present-day scenario is Automobile Insurance Fraud. These scams are opportunistic or professional. Fraud in Motor insurance is done by intentional deception or misrepresentation for gaining some dishonorable benefit in the form of vehicle expenditures. Consumers are often accustomed to getting these scams through damaged vehicle parts or by entering incorrect information in the claim form. The main purpose of this research project is to identify damaged vehicle parts using image processing algorithms and to identify frauds in the acquisition of property by identifying similar objects between two flipped images. The aim is to identify fraudulent claims to target audiences. "