Enhancing PAN Card Security with OCR Based Information Extraction and Face Recognition for Reliable Identity Verification

Due to the potential for impersonation, the Indian PAN card is of great importance and thus, it should be encrypted with certain methods. The paper proposes a system that deals for achieving greater security of PAN card by applying a combination of OCR based information extraction and face recognition system as a means of securing identity verification. A set of OCR algorithms is first entrusted with the task to accurately read and translate the text found on the PAN card which includes the, date of birth, name and the PAN number, along with other features. The digitized and translated data is easier to store and retrieve, which makes the verification process quicker. Furthermore, a deep learning face recognition module is added in a bid to match the face of the PAN card holder with the face on the card. The proposed system is based on the architecture of the convolutional neural network (CNN) which has been shown to perform well in systems that need to compare in different amounts of light and at different angles making it reduce both the false acceptance and the false rejection rates. This article emphasizes the need for cutting-edge technologies to be implemented in identity verification systems, as identity fraud can be avoided through the use of Computerized Optical character recognition technology (OCR) combined with face recognition technology that provides advanced scanning capabilities advanced scanning capabilities that assist in safeguarding the PAN card.