Fingerprint scanning and facial recognition are considered highly accurate methods of ensuring cybersecurity. However, iris scanning and palm pattern recognition are also gaining ground. In this blog, we will be discussing various biometric verification technologies, so you can decide which one is the most credible.
- Fingerprint Scanning
A commonly used technique for biometric verification is fingerprint scanning. In today’s technologically advanced era, smartphones are built with fingerprint sensors by default, as it provides an accurate means of access control. In case an unauthorized user tries to access a device that is locked with biometric verification, the user will be denied access. Online platforms and companies enable their customer base to open new accounts, access databases, and enroll themselves simply by scanning their fingerprint patterns. This method can work regardless of the user’s geographical location. The advantages of this biometric security system include:
- Unique whorls and ridges provide highly secure verification results
- Eliminates the need to remember passwords and PIN codes
- Convenient and easy to set up
- Cannot be fooled, as no paper-based documents are required
- Facial Recognition
A biometric facial recognition system offers the unique feature of verifying users by analyzing their live presence. The end-user can simply scan their face via a smart device or a webcam. Security checks in this method of biometric authentication include:
- Liveness detection
- Micro-expression assessment
- Skin tone analysis
With the help of these checks, fraudulent attempts such as the use of deep fakes, 3-D masks, replay attacks, and other facial spoof attacks can be easily prevented.
- Iris Pattern Recognition
Another method of biometric verification is iris pattern recognition which has the ability to detect unique patterns and structures found in the eye of an individual. A retina, the blood capillaries found at the back of an eye, consists of unique patterns that can now be stored in digital format. This form of biometric verification technology is widely used in financial institutions, corporate offices, and healthcare facilities. The benefits include:
- No physical contact is needed
- Accurate matching against a biometric database
- Can verify users from a distance
- Close to impossible to spoof
- As the retina is layered by the cornea, eye patterns do not age with time
- Voice Recognition
This method of biometric verification is gaining prominence because of the degree of convenience and ease of use it provides. Voice verification is now executable thanks to artificial intelligence-backed speech recognition software, that provides highly accurate authentication results. Examples of characteristics used by voice recognition systems include numerous vocal traits, such as the individual’s pronunciation, pitch, volume, fluency, etc.
- DNA Sampling
DNA sampling is a biometric identification process that allows an individual to be identified on the basis of a physical sample taken from them to test their DNA. By studying the distinct patterns that exist in each individual, it becomes possible to decide whether someone was present at a crime scene. DNA examples can include a strand of hair, skin flakes, fingerprints on objects, or blood.
The technology behind DNA sampling has become so powerful today that numerous industries have been using them to their advantage. Particularly in the field of law enforcement, forensic departments have been enabled to use familial matching to verify suspects.
Additionally, because of an increasing use of DNA testing kits, forensic departments have been able to solve cold cases by analyzing family trees. An example is that of Barbara Rae-Venter, a genetic genealogist, that used DNA samples to locate and solve the case of the Golden State Killer. Apart from this, countless cases have been solved over the years with the help of this option as well.
- Handwriting Pattern Recognition
Handwriting recognition is a biometric verification process that involves the identification of an individual based on an analysis of a given text. By examining the unique handwriting style that an individual has learned to do, this form of behavioral biometric system has been able to provide highly credible results.
Handwriting biometric verification can be broken down into two main modes:
- Static: In the static mode, a piece of paper that an individual may have written on is digitized by extracting data from it through optical character recognition (OCR) technology. Once this is done, the biometric verification system is able to recognize the handwriting style by an in-depth analysis of the shapes.
- Dynamic: In the dynamic mode, individuals are asked to write on an electronic tablet, which has the ability to store the handwritten text in real time. The dynamic recognition mode is also commonly known as “on-line” method.
Because of the accurate results, cost-effectiveness, and efficiency of this form of biometric authentication system, financial institutions such as banks, insurance firms, brokerage companies, stock exchanges, and fintechs have been using it on a regular basis for the purpose of identity verification.