What Are Biometrics and Biometric Systems?

Biometric technologies are developing more and more day by day, penetrating many areas of our lives. Biometric technologies are systems that use biometric features to recognize people's identities. Facial recognition systems, a form of biometric system, distinguish people based on their facial traits.

Biometrics is an automated system that compares an individual's physical or behavioral uniqueness to existing records to identify them. In other words, biometrics may identify an individual's fingerprints, face, iris, palm prints, signature, DNA, and retina with an easy and convenient verification technique rather than requiring personnel ID cards, magnetic cards, keys, or passwords. Biometrics is the most convenient and easiest solution for the increasing growth of internet-based enterprises and the necessity for comprehensive verification when accessing accounts. 

Biometric systems, on the other hand, are systems that are revealed by assessing people's biometric characteristics to validate their identities. Biometric systems are security solutions that allow users to log in to a system using only their fingerprints rather than any other data or objects.

Physical (passive) and behavioral (active) biometric systems are the two types of biometric systems. Physical biometrics include the following features: face, voice, fingerprint, hand geometry, iris, and retina. These characteristics are present in the individual and are based on fixed physical characteristics that set him/her apart from others. Signatures, writing, lip movements during speech, and walking are all examples of behavioral biometric traits. These characteristics are based on the behaviors that everyone exhibits differently by being put forward for specific goals at specific times.

How Do Biometric Technology Systems Work?

Biometric security systems work on the premise of recognizing a physical or behavioral attribute that is unique to a person and cannot be changed. Biometric systems have a similar working principle... As a result, records are collected in a database in these systems, and these database records are also stored as a code in the appropriate system. When necessary, a result is obtained by comparing the records in the database with the individual concerned. "Biometric systems" are quick, compare a lot of data in a short amount of time, and frequently produce solid results.

Biometric Technology in Facial Recognition

A type of biometric security is facial recognition. Voice recognition, fingerprint recognition, and eye retina or iris recognition are some of the other types of biometric software. Although other uses are becoming more popular, the technology is mostly used for security and law enforcement.

Face recognition technology is widely utilized in phones, and many people are familiar with it. Facial recognition does not usually rely on a large database of images to determine a person's identification. It simply recognizes and identifies one person as the device's exclusive owner while restricting access to others.

Facial recognition works by comparing photos of persons on a watch list to the faces of people going past special cameras. The images on the watch lists might come from anywhere, including our social media accounts, and can be of anyone. Facial technology systems operate in a variety of ways, but they usually work like this:

• Face Detection

The camera recognizes and locates the image of a face in a crowd or alone. The person could be staring straight ahead or in profile in the photograph.

• Face Analysis

After that, a picture of the face is taken and examined. Because it is easier to match a 2D image with public photos or those in a database, most facial recognition technology uses 2D images rather than 3D images. Your face's geometry is read by the software width of your eyes, the depth of your eye sockets, the distance between your forehead and chin, the curvature of your cheekbones, and the contour of your lips, ears, and chin are all crucial factors to consider. The goal is to determine the facial landmarks that help you recognize yourself.

• Image To Data Conversion

Based on a person's facial traits, the face capture method converts analog information (a face) into a set of digital data. The examination of your face is essentially reduced to a mathematical formula. Faceprint refers to the numerical code. Each person has their faceprint, similar to how thumbprints are unique.

• Finding Match

After then, your faceprint is compared to a database of other people's faces. A determination is made if your faceprint matches an image in a facial recognition database.

Conclusion

Of all biometric metrics, facial recognition is the most natural. This makes intuitive sense because we know ourselves and others by looking at their faces rather than their thumbprints and irises. Using Face Detection technology possible with Cameralyze. Cameralyze offers no-code user-oriented face recognition technology with superior performance and high privacy. Start the free trial  now!