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Face Liveness Detection System Using Profile and Blink Detection #910

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Face Liveness Detection System Using Profile and Blink Detection #910

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pratikwayal01
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Pull Request Title:

Add Face Liveness Detection System Using Profile and Blink Detection
Issue Number - #904

Description:

This pull request implements a Face Liveness Detection System that leverages profile detection and blink detection techniques. The goal is to verify whether a user is physically present during the authentication process by analyzing their facial features and eye blinks.

Changes Made:

  • Implemented profile detection using Haar Cascade classifiers for frontal and profile face detection.
  • Integrated blink detection using Dlib's shape predictor to calculate the Eye Aspect Ratio (EAR).
  • Developed a user interface that prompts users to turn their faces and blink.
  • Added a README file explaining the methodology, how to run the main file, and project structure.
  • Included a requirements.txt file with necessary dependencies.

Methodology:

  1. Profile Detection: Utilizes Haar Cascade classifiers to detect frontal and profile faces.
  2. Blink Detection: Employs Dlib's shape predictor to monitor eye blinks based on the EAR threshold.
  3. User Interaction: Prompts the user for specific actions (turning and blinking) to confirm liveness.

How to Test:

  1. Ensure the necessary XML and DAT files are placed in the dataset/ directory.
  2. Run the main.py file to initiate the detection process.
  3. Follow the prompts on the screen for liveness detection.

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Our team will soon review your PR. Thanks @pratikwayal01 :)

@pratikwayal01
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Hello @abhisheks008 please mege my PR

abhisheks008
abhisheks008 requested changes Oct 19, 2024
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@abhisheks008 abhisheks008 left a comment

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  1. Project folder name should be Face Liveness Detection System [No hyphen "-" is required].
  2. Follow the project structure and put your files accordingly.
Project Folder
|- Dataset
   |- dataset.csv (dataset used for the particula project)
   |- README.md (brief about the dataset)
|- Images
   |- img1.png
   |- img2.png
   |- img3.png
|- Model
   |- project_folder.ipynb
   |- README.md
|- requirements.txt
  1. Model/README.md template: https://github.com/abhisheks008/DL-Simplified/blob/main/.github/readme_template.md

@abhisheks008 abhisheks008 linked an issue Oct 19, 2024 that may be closed by this pull request
Implement Face Liveliness and Anti-Spoofing Mechanism #904
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@abhisheks008 abhisheks008 abhisheks008 requested changes

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Implement Face Liveliness and Anti-Spoofing Mechanism
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@pratikwayal01 @abhisheks008