Document verification

Computer Vision

The Document Verification system is an advanced computer vision solution that validates the authenticity of ID cards, invoices, passports, and other official documents. Using CNN models, vision transformers, and image forensics techniques, the system can detect forgeries, tampering, and fraudulent documents with high accuracy. The platform combines OCR capabilities with deep learning models to extract information while simultaneously verifying document authenticity through texture analysis, watermark detection, and pattern recognition, making it essential for KYC processes and fraud prevention.

Completed20247 months

Project Overview

Client:Identity Verification Services
Duration:7 months
Team Size:9 developers
Status:Completed

Technologies Used

document verificationforgery detectionCNN modelsOCRvision transformerimage forensics

Key Features

  • Real-time document authenticity verification
  • Forgery and tampering detection
  • Multi-document type support
  • OCR-based information extraction
  • Image forensics analysis
  • Automated KYC processing

Challenges Overcome

  • Detecting sophisticated forgeries
  • Handling poor quality document images
  • Supporting multiple document formats
  • Maintaining high accuracy rates

Results Achieved

  • 98% forgery detection accuracy
  • 90% reduction in fraudulent document acceptance
  • 70% faster KYC processing
  • 95% automation of document verification