I need a face anti spoofing detection model, who detect that face is real or fake in spoofing attack. The main function of this model is to prevent the system from spoofing attacks in the authentication. The Model should use handcrafted features (Not Deep learning) to detect photo and video spoofing of faces. The entire project has to be done in Python (3.0).
The basic idea of this model is that first detect the face from image or video. By using some basic features (specular reflection, blurriness, chromatic moment, color diversity Gabor filters, color moments), create the specification difference of that face image. This specification difference classified by standard Support Vector Machine SVM classifier for classification between real and fake faces.
Hi there, I am professional python developer & expert in ML + opencv. I am ready to build a fake face detection which 'll detect from image or from video. thanks.
Bu iş için 12 freelancer ortalamada $64 teklif veriyor
Hi, I have understand the project requirement & interested to work for this project. I will start right now and I will do it within 12 hours. Please send a message so we can discuss more & start the project. Thanks.
@@@ QUALITY & INTIME & PERFECTLY @@@ [login to view URL] I am very interested in your project. My top skill is PYTHON & DJANGO & FLASK . I am confident of this project as I'm a professional PYTHON expert with over 10 years of expe Daha Fazla
I have been recently studying and thoroughly researching SVMs. I’m very fond of computer programming and machine learning, with my best language being Python.