eKYC (Electronic Know Your Customer) is a project designed to electronically verify the identity of customers
This library is built to ease the process of decoding aadhaar QR codes and XML. It supprts old aadhaar QR codes , newly released Secure aadhaar QR codes and also Offline e-KYC XML. This library also can decode QR codes with Opencv. This library bundled with all the features to verify user\'s Email Id and Mobile Number & also to extract the photo…
eKYC Application ( verify costumer identity )
eKYC Pose Video Challenge Module - Study case of verification and identification for customer/user through live video/camera
An AI-driven eKYC (Electronic Know Your Customer) system that performs real-time face verification, ID card photo matching, and liveness detection (blink, head turn) — built with PyTorch, TensorFlow, and PyQt5.
Check whether the given image is a real or fake face (liveness) and compare between 2 faces which is expected to have a high of accuracy and light weight.
Porichita AI eKYC System is a Python-based electronic Know Your Customer (eKYC) application for face verification and enrollment. It uses real-time face detection and liveliness testing to ensure secure identity verification, with a user-friendly GUI built on PyQt5.
Add a description, image, and links to the ekyc topic page so that developers can more easily learn about it.
To associate your repository with the ekyc topic, visit your repo's landing page and select "manage topics."