Face Classification. Is it OK to only use geometric features?

1. Which algorithm is best for face recognition?
2. How is math used in facial recognition?
3. Is facial recognition regression or classification?
4. Is face considered biometric?

Which algorithm is best for face recognition?

The most common type of machine learning algorithm used for facial recognition is a deep learning Convolutional Neural Network (CNN).

How is math used in facial recognition?

Most face recognition algorithms fall into one of two main groups: feature-based and image-based algorithms. Feature-based methods explore a set of geometric features, such as the distance between the eyes or the size of the eyes, and use these measures to represent the given face.

Is facial recognition regression or classification?

Linear regression classification (LRC) algorithm is employed to treat the face recognition as a linear regression issue. LRC uses the least-square method to decide the class label with the minimum reconstruction error.

Is face considered biometric?

Facial recognition is a category of biometric security. Other forms of biometric software include voice recognition, fingerprint recognition, and eye retina or iris recognition.