Case Study
Year: 2023 | Month: April-June | Volume: 8 | Issue: 2 | Pages: 214-219
DOI: https://doi.org/10.52403/ijshr.20230225
PAN Card Fraud Detection Using Machine Learning: A Case Study
Rohini Hanchate1, Shreyas Yerole2, Nazir Lalloti3, Piyush Mahajan4
1Prof. Department of Computer Engineering, 2Department of Computer Engineering, 3Department of Computer
Engineering, 4Department of Computer Engineering
Nutan Maharashtra Institute of Engineering and Technology, SPPU University, Pune, India
Corresponding Author: Rohini Hanchate
ABSTRACT
Artificial Intelligence research in the area of computer vision teaches machines to comprehend and interpret visual data. Machines can accurately identify and classify objects using digital images from cameras and videos, deep learning models, and then respond to what they “see”. The detection of document manipulation is an area where these technologies are crucial. Everyone in India is given a PAN (Permanent Account Number), which is a 10-character alphanumeric code, especially those who pay taxes. Various organizations make use of identity documents like PAN cards. The PAN Card given by the employee or client may be genuine or fraudulent. This review paper’s main goal is to use computer vision to determine whether the provided PAN card image is authentic or altered (fake). Our goal is to create a method that uses machine learning techniques to categorize PAN cards.
Keywords: Machine Learning, Convolutional Neural Network, Fraud, Image Processing