19 Top Hidden Features of Biometric Authentication

Biometric Authentication

Features of Biometric Authentication

Biometrics is the technologies that measure and examine human body features, such as DNA, fingerprints, eye retinas and irises, voice patterns, facial patterns and hand measurements, for authentication purposes. “The process of recognizing an individual usually based on a username and password is termed as authentication.”

Nowadays everything has become digital, each and every country is trying to make their country digital, recently in India Prime Minister launch “Make in India” that too refer to Digital India. Biometric play a fundamental role in this era when it comes to security. Traditionally for authentication, we used user id and password procedure or PIN (Personal Identity Number). But as we know that today security is important in most of the organization. The password can be kept same of many users because a user can choose own i.e. Self-password policy criteria.

Using Biometrics for Authentication rise the security level for an individual user. Since every person in this word has different fingerprint, so by using biometric a robust breakable password can be set and there will be no data theft. Biometrics is used in every application.

Note: The key feature of Biometric in Information Technology is to provide the reliable security mechanism.

Some of the keen features of Biometric

  • Facial recognition
  • Voice recognition
  • Signature recognition
  • DNA
  • Retinal scanning
  • Iris recognition
  • Fingerprint
  • Hand Geometry


The fingerprint is most commonly used as a password in many applications since every individual has the different fingerprint. In India for making adhar card, biometric is used for unique identification.

Fingerprint processing has three crucial functions: registration, searching, and authentication. Among these roles, registration which captures a fingerprint image from the sensor plays an important role. The reason is that the way people put their fingerprints on a mirror to scan can affect to the result of the searching and verifying process. Regarding authentication function, there are several techniques to match fingerprints such as correlation-based matching, minutiae-based matching, ridge feature-based matching and minutiae-based algorithm. However, the most popular algorithm was minutiae based matching algorithm due to its efficiency and accuracy.

The above mention feature is used for authentication. It differs from application to application which feature of biometric you want as a password. i.e. (fingerprint, retina recognition, etc.)

Iris recognition

Iris recognition is the superlative of breed authentication process available today. While many mistake it for retinal scanning, iris recognition only involves taking a picture of the iris; this image is used merely for authentication. But what makes iris recognition the authentication system of choice?

Stable – the unique pattern in the human iris is formed by ten months of age, and remains unchanged throughout one’s lifetime

Unique – the probability of two rises producing the same code is nearly impossible

Flexible – iris recognition technology easily integrates into existing security systems or operates as a standalone

Reliable – a distinctive iris pattern is not susceptible to theft, loss or compromise

Non-Invasive – unlike retinal screening, iris recognition is non-contact and quick, offering unmatched accuracy when compared to any other security alternative, from distances as far as 3″ to 10″

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