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This Model uses the Haar feature-based cascade classifiers to recognize faces. This is an effective object detection method proposed by Paul Viola and Michael Jones in their paper, "Rapid Object Detection using a Boosted Cascade of Simple Features" in 2001.

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Face-recognition-Model

This Model uses the Haar feature-based cascade classifiers to recognize faces. This is an effective object detection method proposed by Paul Viola and Michael Jones in their paper, "Rapid Object Detection using a Boosted Cascade of Simple Features" in 2001.

To know more about this technique, head over to this documentation

After capturing one's face and getting name of the person as input, it stores it to a dataset. Further, it uses KNN Algorithm to find the face to which the name fits the best!

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This Model uses the Haar feature-based cascade classifiers to recognize faces. This is an effective object detection method proposed by Paul Viola and Michael Jones in their paper, "Rapid Object Detection using a Boosted Cascade of Simple Features" in 2001.

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