/Adhar_Classifier

Primary LanguagePython

Aadhar Card Verification System

Overview

This Python program verifies the authenticity of Aadhar cards using the Google Vision API. It includes two main functions:

  1. Extract Text: Extracts text from a list of image paths.
  2. Classify Aadhar: Classifies whether the extracted text corresponds to a valid Aadhar card.

Getting Started

Prerequisites

  • Python 3.x

  • Install dependencies:

    pip install -r requirements.txt

Set up the Google Vision API

export GOOGLE_APPLICATION_CREDENTIALS="path/to/your/service/account/key.json"

Usage

1. Extract Text from Images

from main import extract_text

# Define a list of image paths
image_paths = ["path/to/image1.jpg", "http://example.com/image2.jpg", "path/to/image3.png"]

# Extract text from the images
extracted_texts = extract_text(image_paths)

print("Extracted Texts:", extracted_texts)

2. Classify Aadhar Data

from main import classify_aadhar

# Classify the extracted text
result = classify_aadhar(extracted_texts)

print("Classification:", result)

Note:

  • Ensure the Google Vision API key is correctly set up and accessible.
  • Customize the functions based on your specific use case and directory structure.