From the paper-based sign in, the verification and access control industry has adopted biometric verification technology. This development has given birth to digital identities and augmented security. The essential add-on security features from biometrics technology have made the paper-based systems obsolete. Different types of biometric verification technologies were quickly adopted by people from different verticals because of the results is provided in terms of accuracy and efficiency. Today multiples types of biometric verification technologies exist worldwide.
Different Types of Biometric Verification Technologies
Biometric technology is used for distinguishing identity is over customary strategies, including PIN numbers and passwords for its precision and case sensitiveness. In view of the outlining, this framework can be utilized as a recognizable proof framework or verification framework. These frameworks are isolated into different sorts which incorporate vein design, fingerprints, hand geometry, DNA, voice design, iris design, signature elements, face discovery etc. The following are 2 different types of biometric recognition technology: Behavioral Biometrics & Physical Biometrics.
Behavioral Biometrics: Behavioural biometrics works through measuring & uniquely identifying and measurable patterns in human activities. Keystroke dynamics, Mouse usage characteristic, Gait analysis, Voice recognition, Cognitive biometrics & signature analysis are different types of behavioural biometric verification methods. The following are the 2 most widely used types of behavioural biometric verification methods worldwide.
Voice Recognition: Voice recognition is a highly used behavioural biometric technique by Government agencies in terms of national security. It measures an individual’s voice patterns, speaking style and pitch to identify the individual. It usually works through digitizing a profile of a person’s speech creating a template in the process and digitally comparing the voice sample with the template.
Keystroke Recognition: Keystroke recognition measures a person’s typing pattern in order to combat fraudulent activities. It can be applied to computer, laptops, smartphones & tablets. Also known as keystroke dynamics, it basically works through calculating the time a key was pressed and released by an individual. Keystroke recognition is mainly used to improve security in terms of preventing identity thefts.
Physical Biometrics: Physical is based on the physical trait of an individual. As the physical traits are unique to every single human being it is impossible to create errors with physical biometric identification. We use multiple types of biometric technology with regards to the physical biometric industry. The following are the most common types of biometric technologies applied through physical biometric devices industry.
Fingerprint Recognition: The Fingerprint Recognition biometric technology works on the basis of taking a digital fingerprint image of and records its features like arches, whorls, and loops along with the outlines of edges, minutiae, and furrows. Matching of the Fingerprint can be obtained in three ways, such as minutiae based, correlation based and ridge based. Fingerprint-based recognition is one of the most commonly used biometric technologies in digital identity, access control, and other verification systems.
Finger Vein Identification: Finger vein recognition is more accurate than fingerprint recognition technology and has lower False Rejection Rate (FRR) as well as lower False Acceptance Rate (FAR). The finger vein recognition works through scanning the finger vein patterns with near-infrared light. While fingerprint recognition scans the surface of the finger, the finger vein technology scans below the skin and due to this reason, it is more secure than fingerprint recognition technology.
Iris Recognition: Iris recognition is one of the most advanced biometric technologies in use today. Iris scans are the most accurate form of biometrics technology and far superior as a form of identification to fingerprints. The biggest advantage of iris scan is accuracy and reliability. It is estimated to be 10 times more accurate than fingerprint biometrics as the fingerprints are naturally susceptible to damages while the iris is protected by the corneas.
Face Recognition: The facial recognition biometric technology is another popular system which is highly applied in various sectors today. It is not just limited to digital identities or access control but also present in mobile phones, laptops & tablets. The face recognition technology works though recording the facial characteristic like the distance between nose, eyes, mouth & jaw edges and creates the template of the person to compare it to while requesting for access.
The above technologies are the trend in the biometric industry today. The biometric technology is mainly applied in identification and access control but the technology is being expanded in usage in commercial devices like the iPhone X etc. The rise of technologies such as Artificial Intelligence & Machine Learning shall reflect the biometric industry in creating a much safer and secure world.
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