The Most Common Types of Biometric Authentication: Pros & Cons

What Is Biometrics?

Biometrics is the analysis of unique biological and physiological characteristics with the aim of confirming a person's identity. The four most common types of biometric identifiers are: fingerprints, voice, eye, and facial recognition.

Fingerprint Recognition

Everyone’s fingerprints are unique to them. So, by analysing the ridges and pattern of the print, fingerprint scanners create a digital model which is compared against future attempts to authenticate. Fingerprints are typically used to authenticate someone, rather than identify someone - which is what Disney parks do to allow admittance to different areas of the park. Similarly, some organisations use fingerprint scanners instead of timecards.These systems use a digital camera and light. Once a user places their finger on the flat surface, the software aligns the print against several pegs to ensure a correct reading. There are over 30 specific points (called minutiae) in a fingerprint that a scanner will obtain for identification.

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Voice recognition

Voice recognition, otherwise known as voiceprints, is unique in the sense that your vocal cavities create a specific shape when your mouth moves to speak. For this to work, you would need to say an exact word or phrase that the system requires, or give an extended sample of your speech so that it can recognize you no matter what you’re saying.The data used in a voiceprint is called a sound spectrogram, which is essentially a graph that shows sound frequency. Different speech sounds will create different shapes on the graph. These graphs also use colours or shades of grey to represent the qualities of the sound of a voice.

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Eye Recognition

Contrary to popular belief, there are actually two methods of scanning the eye for the purposes of authentication. The scan leverages iris recognition or retina recognition to identify users.In a retinal scan, the authenticator shines a light briefly into the eye to illuminate the unique pattern of blood vessels in the eye. By mapping this pattern, the eye recognition tool can compare a user’s eyes against an original. Iris scans work similarly, but they analyse the colored rings found in the iris.

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Facial recognition

Facial recognition is when software is used that maps an individual's facial features and then stores the data of these features. A facial recognition system will use biometrics to map the face and compare it with a database to find a match.
Using face detection, face capture, and face match, this technology analyzes over 80 elements of the human face.

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homebase's face recognition SaaS solution is made and patented in Germany and equipped with an anti-spoofing technology and liveness detection to eliminate bypassing of the biometrics. With its 3-step onboarding process and easy setup, your company’s data could be protected in no time.

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