Biometric Data

Biometric data is a type of data that describes and classifies measurable human characteristics. This is a process called biometrics. Biometric data is typically captured, stored, and processed in the format of data templates. These templates are usually known as biometric templates. A biometric template (a set of stored biometric features) is a set of inherent or acquired physical or behavioral characteristics used to recognize a person. To create a template we usually need to convert a biometric sample to the form of binary representation, which is subsequently converted into the template. These representations are also known as a biometric feature vector.

Biometric data includes information about a person’s unique physical or behavioral characteristics that can be used to identify them. It is often used in security settings, for example, for access control and identification purposes.
Biometric data can include information about the shape of your face, your fingerprints, your iris (the colored area surrounding the pupil), your voice, your handwriting and signature, and more. Biometric data is often used to authenticate users, for example, to verify that the person accessing a system is who they say they are. Biometric data can also be used in forensics investigations to help identify suspects or victims of crimes. For example, fingerprint evidence can be used to prove someone was at the scene of a crime by identifying their fingerprints on an object found there or by matching them against those in a database of criminals’ fingerprints.

GDPR is the European Union’s General Data Protection Regulation that regulates how companies collect personal information from EU citizens and what they can do with it. The regulation came into force on May 25th, 2018 and aims to protect people’s rights when their personal data is collected and used by companies or organizations.
Biometric data is becoming increasingly important in the world of data management, and it is subject to regulations like GDPR. Biometric data is defined as a process that identifies or recognizes human characteristics by scanning their physical or behavioral traits. Biometric data can include fingerprints, facial scans, voice recognition, iris scans, palm prints, and hand geometry. As biometric data becomes more common in everyday life, concerns over privacy and security have risen. The use of facial recognition and biometrics in general for personal identification and verification is a hot topic right now. In Biometrics and Personal Data white paper, we discuss how the recent surge in these technologies has affected the way we identify ourselves, as well as how to manage your biometric data and comply with GDPR.

Biometric data can be used for authentication purposes, but it is also commonly used for identification purposes. Authentication is when you prove that you are who you say you are (for example, by providing a password or fingerprint). Identification is when you prove that someone else is who they say they are (for example, by comparing their fingerprint against your database of fingerprints).
There are two main ways that biometric data is collected: passively and actively. When biometric data is collected passively, the subject does not have to do anything in order for their biometric information to be collected at all—it just happens because of some inherent property of the subject (like their voice or face). When biometric data is collected actively, however, there has to be some sort of interaction between the subject and the device which will collect this information (like an eye scanner).