Authors: Professor Swati Bagade, Vaishnavi Patra, Supriya Unde, Pooja Upadhyay, Sakshi Taru
Abstract: Counterfeit licenses pose significant security risks, leading to identity fraud and unauthorized access. Traditional verification methods are often slow, inefficient, and prone to human errors. This paper introduces an AI-based solution that combines image processing, Optical Character Recognition (OCR), and deep learning techniques for accurate fake license detection. A Convolutional Neural Network (CNN) is used to analyze both visual and textual elements, while blockchain technology ensures secure and tamper-proof verification. The proposed system enhances fraud prevention, enables real-time authentication, and improves regulatory enforcement. Experimental results show that this approach outperforms conventional detection methods in accuracy and efficiency.
