How to store generated eigen faces for future face recognition?

1. How is facial recognition data stored?
2. What are the limitations of doing face recognition with eigenfaces?
3. How do you increase eigenface recognition?
4. Is there a database for facial recognition?

How is facial recognition data stored?

Facial recognition is a category of biometric software that maps an individual's facial features mathematically and stores the data as a faceprint. The software uses deep learning algorithms to compare a live capture or digital image to the stored faceprint in order to verify an individual's identity.

What are the limitations of doing face recognition with eigenfaces?

Additionally, the eigenface recognition method bears some common disadvantages due to its ``appearance-based'' nature. First, learning is very time-consuming, which makes it difficult to update the face database.

How do you increase eigenface recognition?

Give a person some blurred test image pairs and ask them to match. Try to find out how much you can blur the images and still be successful at matching them. Use the same blurring parameters for the computer. Image alignment techniques may also help.

Is there a database for facial recognition?

The INTERPOL Face Recognition System (IFRS) contains facial images received from more than 179 countries which makes it a unique global criminal database.