Automating Identity Document Validation and Verification Using Computer Vision

Automating Identity Document Validation and Verification Using Computer Vision

Nilay Owe¹, Sanket Jaisingpure², Ayush Khadse³, Prasad Yenguwar⁴, Dr. R. R. Tuteja⁵

nilayowe22@gmail.com¹, sanketjaisingpure14@gmail.com², ayushkhadse007@gmail.com³, yenguprasadreddy@gmail.com⁴, rrtuteja@mitra.ac.in⁵

Student, Department of Computer Science and Engineering^1,2,3,4

Associate Professor, Department of Computer Science and Engineering⁵

Prof. Ram Meghe Institute of Technology and Research Badnera, Amravati, Maharashtra, India.

Abstract:-  The research paper presents a practical solution for identity document validation and verification that can be applied to various types of documents, including driving licenses, passports, and IDs from different countries. The proposed system aims to overcome the challenges of real-life identity document validation and verification by taking into account the unique features of each type of document. The paper outlines three main contributions: document detection, document validation, and verification. To test the proposed solution, the researchers have used their institute's Student Identity Card as a case study. By implementing the proposed system, the researchers were able to validate and verify the selected documents accurately. The proposed solution can have significant implications for various industries that rely on document validation and verification, such as banking, insurance, and government.

Keywords:- Computer Vision, Deep Learning Model, Identity Document, Validation, Verification.