Aadhaar Card Verification System

Live Demo | Demo Video | Presentation PPT

Overview

The Aadhaar Card Verification System is a web application that verifies user identity by extracting information from an uploaded Aadhaar card image and matching it with a live selfie. The system supports multiple Indian languages and leverages OCR and face recognition technologies to provide accurate and secure verification.

Problem Statement

Manual identity verification is often slow and error-prone. This system automates the process by extracting text and photo data from Aadhaar cards and matching it with a live selfie, enabling quick, reliable, and inclusive identity verification for digital services.

Workflow

1. User Uploads Aadhaar Image

   • Upload scanned or photographed Aadhaar card images supporting multiple Indian languages.
   • Technology: React.js file upload interface.

2. OCR Text Extraction

   • Extracts text including Date of Birth (DOB) and photo from the Aadhaar image.
   • Technology: tesseract.js.

3. Live Selfie Capture

   • User captures a real-time selfie via webcam or mobile camera.
   • Technology: getUserMedia(), HTML5 <canvas>.

4. Face Detection and Matching

   • Compares Aadhaar photo and live selfie using face detection and embedding comparison.
   • Outputs a confidence score indicating match accuracy.
   • Technology: face-api.js.

5. Age Calculation and Verification

   • Calculates age from extracted DOB and verifies age criteria (e.g., 18+).
   • Technology: JavaScript Date().

6. Result Display

   • Shows verification results including face match confidence, age eligibility, and selfie quality feedback (e.g., blur, lighting).
   • UI includes toasters, progress bars, and error messages.

7. Optional Data Security Measures

   • Secure session data handling using sessionStorage.
   • Privacy considerations integrated throughout.

Technology Stack

Feature	Technology/Library
Frontend UI	React.js
OCR Text Extraction	tesseract.js
Live Selfie Capture	getUserMedia(), HTML5 Canvas
Face Detection & Matching	face-api.js
Age Calculation	JavaScript Date
Data Security & Storage	sessionStorage, HTTPS

Unique Selling Points (USPs)

• Supports All Local Indian Languages: Accurate OCR extraction across multiple Indian languages ensures inclusivity.
• Secure and Reliable: Encrypted data transmission via HTTPS and secure session handling protect user privacy.
• User-Friendly and Accessible: Intuitive UI enables seamless Aadhaar image upload and selfie capture.
• Confidence Score & Feedback: Clear match confidence and selfie quality feedback improve user experience.
• Scalable Architecture: Built with modern web technologies for easy maintenance and future enhancements.

Future Scope

• Multimodal Verification: Integrate voice biometrics alongside face and document verification for higher accuracy.
• Indic Language Support with Sarvam API: Use Sarvam’s translation and transliteration APIs for regional language support.
• Real-Time Translation: Enable dynamic translation of extracted text and system feedback between English and Indian languages.
• Voice Interaction: Incorporate speech-to-text and text-to-speech APIs for voice commands and audio feedback.
• Additional Biometrics: Add fingerprint or iris recognition to strengthen identity verification.
• Enhanced Data Privacy & Security: Implement encryption and secure data handling for sensitive biometric data.