Face recognition from training convolution neural network and using cascade object detector for cropping faces.
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Face recognition with great accuracy and efficiency and using live video stream to capture faces and training data. Using capturefacesfromvideo.m to get training data from video and saving images of faces.And run SimpleFaceRecognition.m to train and implement CNN on new image for face recognition. And using cropface.m to crop faces from images from training data. And training Convolutional Neural Network alexnet by modifying output layers by number of subjects. Using trained newnet for face recognition.
Cite As
Yashwanth M (2026). Face-Recognition-by-CNN (https://github.com/Yash0330/Face-Recognition-by-CNN), GitHub. Retrieved .
General Information
- Version 1.3.3 (83.7 KB)
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View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
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| 1.3.3 | Updated Description |
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| 1.1.6.1 | Updated Description |
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| 1.1.6 | Updated Description |
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| 1.1.3 | Updated Description |
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| 1.0.3 | Updated Description |
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| 1.0.2 | Updated Description |
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| 1.0.1 | Updated Desription |
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| 1.0.0 |
