Summary

Facial recognition is one of the most natural biometrics available. When we see a face, our brains perform complex processing to take the image and make sense of what we are seeing.

In this chapter, we learned about the evolution of FRT, from the early beginnings in the 1960s, to advances in technology and algorithms in the 1980s, to the present day. By now, you can understand that, although the face is an optimal biometric, obtaining an image of the face to use in a facial recognition process can be challenging. We covered the differences in capturing a 2D image versus a 3D image, and how a 3D image can provide depth and provide a more life-like image. Even still, shadows, alterations in pose, and variations in color can negatively affect the recognition rate.

We then examined the process of facial recognition, from extracting the features, to localizing the face, and then identifying the features. We then saw the importance of using AI to make a correct decision. Finally...