Identifying a person or verifying their claimed identification via the use of biometrics is a common use of this technology. Identification and verification are two distinct procedures, yet they serve very similar functions in a variety of different sorts of security systems. In spite of the fact that the two ideas are intertwined and that, in public conversation, they are often confused with one another, it is essential to distinguish between the two.
The process of answering the question “Who is this person?” is known as identification. It involves collecting information about a person who is unknown to you, such as a picture of their face, their vein biometrics, or their fingerprints, and then comparing that information to a bigger database in an effort to locate a possible match. It is common practice to refer to identification systems as 1-to-n matching systems (also written as “1:N”), where n refers to the total number of biometrics stored in the database. Identification often requires more time than verification because the algorithm has to evaluate the reference data in relation to a more extensive group of potential candidates in order to locate a match.
An example of an identification operation is a criminal AFIS, which maintains vast banks of various forms of biometric information, such as fingerprints and mugshot photographs, which are acquired during the booking process for every suspect. After that, the information is matched to freshly submitted samples of suspects in order to look for any prior criminal record the suspect may have had.
The question “Is the person who they claim they are?” is asked during verification. Someone claims to be a certain user, and they are required to produce evidence that they can authenticate their identity by comparing it to data that has previously been saved. Instead of casting a broad net in the pursuit of similarities during the identification phase, the verification process uses a one-to-one (or “1:1”) matching method since its primary objective is to match a particular person. Verification, on the other hand, often works much more quickly than identification does since it uses a smaller database to search for very precise criteria.
Another concept in biometric matching, authentication is closely related to verification in terms of its use. The following interactions of a person must go through a procedure that is similar to the one used in identity verification in order to provide sufficient evidence that the person in question is in fact the same individual whose identity has already been validated.
Consumer electronics such as cellphones need verification to unlock their usage, most often in the form of fingerprint scanners or face recognition systems. These technologies are becoming more sophisticated.
CloudABIS is a Web API that enables brisk and dependable biometric matching and identification.
CloudABIS is capable of comparing millions of biometric templates per second to fulfill criteria for quick 1:N matching. Customers need just connect to our platform via our API or CloudApper software, and they will immediately be granted the capacity to do speedy 1:N matching. Our software is compatible with a wide variety of fingerprint readers, and the activation process using our CloudScanr app is completely frictionless. In addition, CloudScanr makes it possible for the biometric system to immediately function in any online browser.
