Srinivas Chintakindi, Manager – Technology/Products at PamTen
Facial recognition is the least intrusive and fastest growing fields of biometric technology. Biometrics in general is the body’s measurements and calculations – the metrics of the human body and characteristics. The study of the body’s measurements and relationships goes back throughout human kind, but the technology to quantify it has been significantly advanced by current technology.
There are several forms of biometric technology:
Focusing on Facial Recognition, with the latest developments in technology, systems are now able to identify a person’s face and verify who that face belongs to from any digital image.
Facial recognition analyzes the characteristics of a person’s face through input of a digital image. It measures the overall facial structure, including certain measurements of distance and depth that create the hills, peaks, and valleys of a face. These measurements are retained in a database as a faceprint and are compared when a user stands before the camera or sends another digital image. It is estimated that biometric facial recognition technology will soon overtake fingerprint biometrics as the most popular form of security for user authentication. Currently, Apple’s iPhone X and some Android phones include Face ID technology that lets users unlock their phone with a Faceprint mapped by the Phone’s camera.
There are a variety of facial recognition methodologies, but in general, they work by comparing selected facial features from the given image with already stored facial data within a data source. When the image is fed into the software, it maps the individual’s facial features mathematically and stores the data as a faceprint. Then the software uses machine/deep learning algorithms to compare a live capture or digital image to the stored faceprints to verify an individual’s identity.
Every face has numerous, distinguishable landmarks; the different peaks and valleys that make up unique facial features. Each human face has approximately 80 nodal points that are measured for verification’s. Some of these measured by the Facial Recognition Technology are:
These nodal points are measured creating a numerical code, the faceprint, representing the face in the database.
Have you posted a picture to Facebook and noticed that the system often automatically asks if you’d like to tag other friends that are in the picture? That’s because Facebook uses facial recognition software to tag individuals in photographs. Each time an individual is tagged in a photograph, the software stores mapping information about that person’s facial characteristics. Once enough data has been collected, the software can use that information to identify a specific individual’s face when it appears in a new photograph. As the largest social media platform in the world, it’s building quite an extensive data base of faces.
Facial recognition is getting more popular and being used in many commercial and governmental industries. Below are some of examples of how facial recognition is currently being used.
Facial recognition technology has many positive applications. But it also raises many questions about personal privacy and governmental and commercial intrusion. How do you feel about the growing incorporation of facial recognition technology in our lives?