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Implementation of the approach presented in the paper 'Face Spoofing Detection Using Colour Texture Analysis' to tackle spoofing attempts

Python 100.00%

antispoofing facespoofdetection facespoofing hsv lbp lpq rgb svm-classifier texture-descriptors ycrcb

face-spoofing-detection-using-colour-texture-analysis's Introduction

Hi, I'm Kevin Depedri 👋

I am a passionate engineer, working in the AI/ML field.

I am a graduate from the University of Trento 🎓

There I earned a Bachelor's degree in Information and Communications engineering 📡

and a Master's degree in Artificial Intelligence Systems 🤖

with a specialization in Computer Vision and Augmented Reality 👓

Here you can find some of the projects on which I have worked in the last years 💻

Feel free to contact me here on github for any project related question or collaboration.

Otherwise, you can reach me on Linkedin here 📫

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face-spoofing-detection-using-colour-texture-analysis's Issues

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Nice to find the repository that reproduces that paper and to see such a detailed report-presentation, thanks a lot!
May I ask if you guys have tried changing the SVM to a deep learning network? At the same time, I would like to ask whether the detection speed of a single frame image really takes about 3 minutes. Based on what equipment is used to measure this data, it feels a bit too slow?

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