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All Projects → vcolamatteo → face-authentication

vcolamatteo / face-authentication

Licence: other
Face-authentication system enterely written on C++ with OpenCV and Qt third party library. Face-antispoofing procedure is included.

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Labels

opencvfeature-extractionlocal-binary-patternsface-authenticationlocal-quantized-patternface-antispoofingantispoofingmutiscale-lbpmultiesolution-lbplqp

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face-authentication

Welcome Sir/Madame and thanks to be here!



This is a complete face-authentication system. I developed it during my degree-thesis (italian language) in Computer Engineering.
It is entrely written in C++.
The whole computative process mainly consists of the following functional modules:


  • face-tracking
    • OpenCV classifier + template matching technique for angled head-posture detection and a continuos tracking without any visual freeze.

  • eyes-tracking
    • for face-cropping (missing a complete face landamaks detection system...) and geometric normalization (a planar face rotation to normalize user's head-posture)

  • brightness-normalization
    • For reducing environment light condition variability (the system works with just a RGB webcam)

  • face-antispoofing
    • Multiresolution/Multiscale LBP and SVM with radial filter classification. The system is able to work without any kind of liveness-detection, so it doesn't need user cooperation and it's absolutely transparent for user.

  • features-extraction
    • The features-extraction module is based on the Local Quantized Pattern methodology (LQP), with vector quantization (clustering) performed with k-means algorithm (scratch programmed).


The system is provided of a GUI for helping user during the enollment and the classification phases of the authentication process.



Windows/Linux OS compatibility. Third party library involved: OpenCV 2.4.9, Qt 5.1.
System divided in a Trainer application and a Recognizer application.
More info at: vcolamatteo/computervision.
For any info request email me at: [email protected]
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