What is automated biometric identification system (ABIS)?

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For large-scale biometric authentication and deduplication, an automated biometric identification system, or ABIS, is utilized. An automated biometric identification system, or ABIS, is utilized for large-scale biometric authentication and duplication. An ABIS is a biometric search system that compares one sample to a database of samples with multiple biometric templates in a one-to-many comparison. It allows for the comparison of a live sample to a large number of existing biometric templates to locate a record of a specific individual and confirm their identification.

There are different modalities of biometric identification systems, and the most common one is AFIS. It stands for automated fingerprint identification system. Like fingerprint identification, you can also use Iris, face, and vein identification systems as the common biometric modalities. You can use one or multiple biometric modalities for identification or verification. 

Four to five years back, implementing these systems had to be done on-site, and it required a huge amount of IT infrastructure investment and maintenance. But nowadays, we have CloudABIS, which is a cloud-based system that follows the SaaS model. By offering biometric services over the cloud as an API, CloudABIS has made biometric services more affordable and accessible.  

How an Automated Biometric Identification System (ABIS) Works

Rather than go deep into the technical side, we’ll explain how the system works as a whole. We already know what modalities are available for biometric identification. You can select one or multiple biometric modalities. 

An ABIS evaluates a person’s biometric characteristics, such as a fingerprint, face, or iris, available in the current biometric database, also known as biometric templates. The fingerprint, face, and iris of each person are all unique. This allows biometric markers to be linked to a specific individual. A biometric search compares the physical properties to those of existing templates using advanced algorithms.

The biometric sample has to be enrolled in the database using biometric scanners. Depending on which modality you are using, different biometric devices are available. The identification is made using two methods which are: 

1. 1:1 Matching 

By verifying a recorded biometric template to a database of templates, 1:1 biometric identification matching authenticates a user’s identity. Before comparing a saved biometric template to a live scan, the individual conducting the match must first input a personally identifiable credential name, ID, date of birth, gender, etc., before the comparison may take place. Because of this, personally identifiable credentials relate to a specific database registration template. In short, 1:1 matching confirms a person’s identity by verifying who they claim to be. 

2. 1:N Matching 

A one-to-many biometric identity matching system compares a user’s registered biometric template to all recorded biometric templates in the system in real-time. Only the user’s biometric credentials are required, and this matching type is the only true de-duplication technique. Once a user enrolls, 1:N biometric matching types ensure that it is impossible to generate a duplicate record for that user. This type of matching ensures whether the person is enrolled in a specific group or not. 

Advantages of Using Cloud ABIS

What an ABIS is or how an automated biometric identification system works should now be clear. Using CloudABIS is much better than anything else, and M2SYS provides the best cloud biometric service. The advantages are mentioned in detail below: 

1. Web API

When using cloud ABIS, you can connect with any web or desktop-based application using the API. The API is easy to use, and proper documentation is provided for easy integration. 

2. Multiple Stacks

Biometric functionality may be quickly added to any Windows/Web/Mobile application using the following stacks: C#, Java, PHP, C/C++, Delphi, VB, etc.

3. Perfect For AFIS

On the market, there are a lot of good fingerprint readers. Because ISO is a universal format, Most fingerprint SDKs allow you to create a standard ISO template. CloudABIS™ leverages the ISO template to accomplish quick, large-scale 1:N matching in our cloud using our patent-pending technology. Avoid the time, inconvenience, danger, and inflexibility of many SDKs and vendor agreements that protect your information.

If you want to use an automated biometric identification system for any kind of business cloud-based biometric service, CloudABIS should be the number one choice. If you want to try the cloud biometric service, please contact us. 

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