AI Document Recognition & ID Verification System

Overview

We have developed an AI-powered image processing algorithm for ID recognition. In this project, we created an advanced AI image processing algorithm capable of accurately extracting information from various documents such as bank cards, credit cards, passports, IDs, and driver’s licenses. By leveraging cutting-edge Optical Character Recognition (OCR) technology, the system can automatically recognize text information with high accuracy while adapting to different document types and layouts. Additionally, the integration of advanced AI technologies such as R-CNN, YOLO, GNN, and FastText enables precise recognition and data extraction from ID card details, including portraits, text, signatures, and QR codes, etc. This system can be applied across various industries, including customer identity verification (KYC) for banks and financial institutions, online registration systems, digital contracts, and automated check-in processes at hotels and airports, etc.

Features

1. High-accuracy text recognition with advanced OCR technology

  • Extracts text accurately from various document types and formats
  • Recognizes handwritten text, different fonts, and skewed or blurred images
  • Supports different ID formats such as passports, credit cards, etc.

2. AI-powered image processing for portrait, signature, and QR code recognition

  • Uses YOLO and R-CNN to precisely detect portraits and signature areas on ID cards
  • Applies GNN to analyze document layouts and extract necessary information
  • Decodes encrypted personal information from QR codes and barcodes to enhance verification accuracy

3. Optimization for financial processes and identity verification (KYC)

  • Applicable to banks, financial institutions, and E-KYC procedures
  • Provides an API for seamless integration with existing financial systems
  • Ensures data security through personal information encryption and safe processing

Technology Stack

  • OCR and image analysis: Tesseract OCR, EasyOCR, Google Vision API
  • Object detection and AI algorithms: YOLO, Faster R-CNN, GNN, FastText
  • Cloud & Infrastructure: AWS (S3, Lambda, API Gateway, Rekognition)
  • Backend: Python (FastAPI), Node.js (Express), PostgreSQL
  • Frontend: React, Next.js
  • Authentication: Firebase Authentication, AWS Cognito

Benifits

  • High-accuracy ID recognition and data extraction: Ensures precise identity verification without human intervention
  • Automated KYC process: Optimizes identity verification workflows for banks and financial institutions
  • Support for multiple document formats: Simultaneously handles various ID types, passports, driver’s licenses, and credit cards
  • Secure data processing: Ensures encrypted personal information and safe data management.

Project Info

Team size
8 people
Period
6 months
Tool & Technology
Python
OpenCV
Tesseract
PyTorch/Tensorflow
Java/C++
R-CNN
SSD
Yolo
FastText
Font 処理
Scope
Requirement analysis
Development
Testing
Deployment to production environment

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