Metadata-Version: 2.1
Name: face_similarity
Version: 0.0.2
Summary: A package to compare face similarity from documents and original image.
Home-page: https://github.com/mfurqanjaved/Face_similarity.git
Author: Muhammad Furqan Javed
Author-email: mfurqanjaved@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: opencv-python
Requires-Dist: numpy
Requires-Dist: scikit-image
Requires-Dist: scikit-learn
Requires-Dist: face_recognition

# Person Image Verification Package

## Overview
The Person Image Verification Package allows users to upload a document containing an image of a person and an original image of a person. It then determines whether the person in both images is the same or different. This package leverages advanced image processing and machine learning techniques to provide accurate results.
A package to compare face similarity using HOG features and cosine similarity.

## Features
- Image Upload: Upload any document containing an image of a person.
- Original Image Comparison: Upload an original image of the person for comparison.
- Verification: Determine whether the person in both images is the same or different.
- Easy Integration: Simple and straightforward integration into any project.

## Installation
`pip install Face_Similarity`

## Example Usage
```python
from face_similarity.similarity import compare_faces

image_path_1 = 'path/to/Document_image.jpg'
image_path_2 = 'path/to/original_image.jpg'

result = compare_faces(image_path_1, image_path_2)
print(result)

