Voice Biometrics Authentication and Face Recognition

Voice Biometrics Authentication using GMM and Face Recognition Using Facenet and Tensorflow

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How to Run :

Install dependencies by running

For Linux Terminal :

pip3 install -r requirement.txt

pip install -r requirements.txt

For Windows [Anaconda Prompt] :

python -m pip install -r requirements.txt

1.Run in Jupyter notebook - main.ipynb

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2.Run in terminal in following way :

To add new user :

  python3 add_user.py

To Recognize user :

  python3 recognize.py

To Recognize until KeyboardInterrupt (ctrl + c) by the user:

  python3 recognize_until_keyboard_Interrupt.py

To delete an existing user :

  python3 delete_user.py

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Voice Authentication

For Voice recognition, GMM (Gaussian Mixture Model) is used to train on extracted MFCC features from audio wav file.

Face Recognition

Face Recognition system using Siamese Neural network. The model is based on the FaceNet model implemented using Tensorflow and OpenCV implementaion has been done for realtime face detection and recognition.
The model uses face encodings for identifying users.

The program uses a python dictionary for mapping for users to their corresponding face encodings.

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Controlling the face recognition accuracy: The threshold value controls the confidence with which the face is recognized, you can control it by changing the value which is here 0.5.

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Another version of recognizing user will keep runnning until KeyboardInterrupt by the user. It is a modified version of recognize() function for real time situations.

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References : Code for Facenet model is based on the assignment from Convolutional Neural Networks Specialization by Deeplearning.ai on Coursera.
https://www.coursera.org/learn/convolutional-neural-networks/home/welcome Florian Schroff, Dmitry Kalenichenko, James Philbin (2015). FaceNet: A Unified Embedding for Face Recognition and Clustering The pretrained model used is inspired by Victor Sy Wang's implementation and was loaded using his code: https://github.com/iwantooxxoox/Keras-OpenFace. Inspiration from the official FaceNet github repository: https://github.com/davidsandberg/facenet