Forgery Detection in Aadhaar-based KYC using Deep Learning
Damini Babbar, Aditya Jain, Ankit Sharma, Dipyaman Banerjee · 2024
With rise of digitization, usage of digital documents and images have become indispensable for identity verification and address authentication. However, the prevalence of advanced image editing tools in today’s digital era has led to frequent doubts about the authenticity of digital images and documents. Forgery has become an inevitable concern in the realm of digital images, encompassing both the authenticity and integrity of the images. Image forgery presents a noteworthy threat in the Telecom industry, specifically when forged Aadhaar card images are utilized as proof of identity or address for sim activation. While e-KYC (Know Your Customer) remains the safest way to get the authentication done, document-based KYC (d-KYC) is still one of the approved methods for KYC as recommended by government regulatory body for Indian Telecom services, leading to threat of utilisation of forged documents for KYC.