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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

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rodrigobressan/PADify

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Build Status Maintenance License: 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

Datasets

License

This file is licensed under the MIT license. You can check the LICENSE file for more information.

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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

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