Underwater Communication

  IMAGE PROCESSING ALGORITHM IN  BIOMETRIC VERIFICATION

---

What is Biometric Verification?

Any method by which a person can be uniquely recognised by evaluating one or more differentiating biological attributes is referred to as biometric verification. 

Fingerprints, hand and earlobe geometry, retina patterns, voice prints, and written signatures are examples of biological identifiers.

Types of biometric Verification:

1. Fingerprint identification: Because of its dependability, ease, and historical success, fingerprint ID is one of the most widely used forms of biometric authentication. To swiftly authenticate the user's identity, almost all cell phones use fingerprint identification.

The absence of replicability of this technology contributes to its reliability. Manipulation of another person's fingerprint to gain access to a device or physical location would be difficult for the normal individual. Even the fingerprint hacks disclosed in 2016 required not only the individual's fingerprint, but also the use of a powerful 3D printer.

2. Face recognition: In today's world, a human face is employed not only for social interactions but also to unlock a variety of products. It uses biometric facial recognition technology to use the human face as a password for numerous devices. Passwords are no longer required to be remembered because they are easily forgotten, lost, or stolen. Face recognition systems are becoming more useful in a variety of areas, including businesses, hospitals, law enforcement, retail, hospitality, and marketing, as technology progresses.

The face scanner is a next-generation recognition system that allows for a highly flexible human verification process. Its use isn't just limited to security concerns; it also quickly stretches its reach into the commercial realm.

Because it does not require any direct touch with the subject, a facial recognition system gathers still photos or live video images to identify an individual from a distance. The photos will be captured in the form of nodal points, which will be compared to the system's current nodal points to identify a pre-registered individual.

3. Voice waveform recognition: Biometric authentication isn't limited to physical characteristics. Organizations can use a person's voice as a unique biometric indicator to authenticate individuals. For example, several financial organisations employ voice recognition to identify customers over the phone. Threat actors employ phone calls as a frequent phishing strategy to extract assets or information. Criminals aiming to impersonate well-known people may have a harder time succeeding with voice recognition.

Voice waveform recognition, on the other hand, has its limits. A threat actor could record a user's voice and play it back for voice recognition software. Despite this, segmenting customers is still a viable option. Voice biometrics are used in a variety of voice-based systems, including Siri, Google Assistant, and Alexa. Google, for example, asks users to repeat a set of words so that the company can recognise their voices when they issue commands.

4. Iris and pattern recognition:  Iris and retina patterns, like fingerprints, are distinct and diverse, making them a viable biometric identification. An iris scanner can capture up to 200 different biometric traits. Banks are employing iris and retina pattern authentication technologies to verify ATM (automated teller machine) customers because of the security and reliability of this kind of identification. For more than 15 years, the US military has utilised iris scanning technology to screen people entering military facilities in Iraq and Afghanistan, as well as to identify and track captives.

 The biggest advantage of biometric authentication is its convenience. Using something that is a part of you rather than a password or PIN that must be remembered allows you to obtain access fast, whether it's to a physical location or an online business.

The most significant advantage of biometric technologies is security. Passwords and PINs can be stolen, but stealing a biometric identifier like a fingerprint or iris scan is extremely difficult. Because of this mix of security and ease, biometric technology acceptance will continue to rise in the coming years, and biometric security systems will become more prevalent.