https://github.com/rodrigobressan/padify

Framework to perform PAD (Presentation Attack Detection) on Facial Recognition systems through intrinsic properties and Deep Neural Networks - Still Under Development
https://github.com/rodrigobressan/padify

biometrics cnn face-spoofing-detection facial-recognition keras pad presentation-attack-detection resnet50

Last synced: about 5 hours ago
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Framework to perform PAD (Presentation Attack Detection) on Facial Recognition systems through intrinsic properties and Deep Neural Networks - Still Under Development

• Host: GitHub
• URL: https://github.com/rodrigobressan/padify
• Owner: rodrigobressan
• License: mit
• Created: 2019-03-20T19:59:56.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2022-12-08T04:53:39.000Z (almost 2 years ago)
• Last Synced: 2023-11-05T16:00:25.960Z (about 1 year ago)
• Topics: biometrics, cnn, face-spoofing-detection, facial-recognition, keras, pad, presentation-attack-detection, resnet50
• Language: Python
• Homepage:
• Size: 80.4 MB
• Stars: 17
• Watchers: 5
• Forks: 5
• Open Issues: 17
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        


[![Build Status](https://travis-ci.org/bresan/PADify.svg?branch=master)](https://travis-ci.org/bresan/PADify)

[![Maintenance](https://img.shields.io/badge/Maintained%3F-yes-green.svg)](https://GitHub.com/bresan/spoopy/graphs/commit-activity)

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

PADify (pronounced as /ˈpædfaɪ/) is a project to perform presentation attack detection (PAD) on publicly available datasets by using different intrinsic image properties along with Convolutional Neural Networks.

## Presentation Attack Detection



  


Fig 1 - Examples of Presentation Attack Detection

## Pipeline Overview



  


Fig 2 - Overview of proposed method

## Properties

- Illuminant Maps ([Carvalho et al.](https://ieeexplore.ieee.org/document/6522874/))

- Saliency ([Zhu et al.](https://ieeexplore.ieee.org/document/6909756))

- Depth ([Godard et al.](https://arxiv.org/abs/1609.03677))

# Datasets

- [CASIA Face Anti-Spoofing Database](http://www.cbsr.ia.ac.cn/english/Databases.asp)

- [Replay Attack](https://www.idiap.ch/dataset/replayattack)

- [NUAA Imposter Database](http://parnec.nuaa.edu.cn/xtan/data/nuaaimposterdb.html)

- [ROSE-Youtu Face Liveness Detection Dataset

](http://rose1.ntu.edu.sg/datasets/faceLivenessDetection.asp) (In Progress)

# License

This file is licensed under the MIT license. You can check the [LICENSE file](https://github.com/bresan/PADify/LICENSE) for more information.