Automated Biometric Authentication System | Multi MABIS

MULTI MABIS is a fast Automated Biometric Authentication System, capable of capturing and storing multiple biometric templates within a short period of time. It utilizes various identification methods like Fingerprint, IRIS, and Facial recognition to store, update or delete biometric data of users.

Key Use Cases:

Citizen Identification: Perfect for national ID programs & voter registration

Passport Issuing: Streamlined passport application and verification

Border Control: Enhanced security at immigration checkpoints

Civil & Criminal ID: Comprehensive identification for law enforcement

MULTI MABIS supports computing resource intensive one-to-many (1: N) and one-to-one (1:1) biometric matching operations for precise, fast and accurate identification of individuals.

SCALABILITY

Large-Scale Biometric Project Solution

For a large-scale biometric project like citizen identification, biometric data of millions of people are required to be captured and stored. Usually, all data is collected in individual laptops and then merged into a central database. Before a citizen ID card is issued, the authorized agency makes sure that one person did not register multiple times. This can be achieved using Biometric De-duplication software such as MULTI MABIS.

Moreover, to merge any decentralized biometric data into a central system requires identifying all duplicate records to unify transaction data under unique personal identities. decentralized biometric projects in areas such as banking, micro-credit lending, voter ID issuance, access control, and hospitals or rural clinics can significantly benefit from a MULTI MABIS system.

Core Processes

Three Fundamental Operations

Comprehensive biometric identity management for large-scale deployments

Enrollment

Enrollment is the process of capturing and registering the user's biometric data such as fingerprint, IRIS, and facial images. MULTI MABIS system enrolls the users by recording their biometric data and storing them into the database.

Capture fingerprint, IRIS & facial
Store biometric templates
Automatic de-duplication check

Identification

Biometric identification consists of determining the identity of a person. The process involves capturing an individual's biometric data and comparing it against biometric records of several other persons kept in a database.

Determine identity accurately
Multi-modal biometric capture
Compare against server records

Removal

Removal is the process of removing a user from the database. Once the user has been removed, it will not be reverted in the system. Hence, MULTI MABIS facilitates an irreversible user data removal process.

Permanent user data deletion
Irreversible removal process
Secure cleanup protocols

Why Enterprise Leaders Choose MULTI MABIS?

Biometric Enrollment

Complete biometric data capture and verification system for any scale of project.

High Performance

40K-200K Finger, Face and Iris matching per second for exceptional processing speed.

Fusion Identification

Finger + Iris, Finger + Face, Iris + Face, Finger + Iris + Face combined modalities.

Modern Rest-API

Modern RESTful API integration for communication with third-party biometric systems.

MINEX Compliance

Full compliance with ANSI and ISO standards for international biometric formats.

Scalable Modular Architecture

Flexible architecture with possible customization for specific project needs.

System Specifications
Fingerprint Matching Speed	40,000 - 200,000 per second
IRIS Matching Speed	40,000 - 200,000 per second
Face Matching Speed	40,000 - 200,000 per second
Matching Modes	1:1 & 1:N Supported
Scalability	Support for unlimited biometric records
Interoperability	REST-API, ANSI and ISO template standards
Reliability	High Availability & Fault Tolerance

Our Capabilities

Advanced Biometric Adjudication

MULTI MABIS can determine questionable biometric matching results like suspicious duplicates (de-duplication) or non-matching templates and forward them for manual adjudication.

A specialized visual tool is also provided to facilitate decision making, ensuring that all aspects of biometric identification are accurate and reliable.

System Strengths:

High availability by running instances in parallel

Scalable to millions of records without loss of speed

Support for various project restrictions and UI translations

FAQ

Frequently Asked Questions

Find answers to common questions about our MULTI MABIS automated biometric identification system.

Product Inquiry 079-49068001

What is MULTI MABIS and how does it function?

MULTI MABIS is an Automated Biometric Identification System (ABIS) developed for large-scale multi-biometric projects. It utilizes various identification methods like Fingerprint, IRIS, and Facial recognition to enroll, identify, and manage biometric data with high precision and customizable module services.

What biometric modalities are supported for fusion identification?

MULTI MABIS supports multiple fusion combinations including Finger + Iris, Finger + Face, Iris + Face, and the combined Finger + Iris + Face modalities. This multi-modal approach ensures exceptional matching accuracy for high-security environments.

How does MULTI MABIS handle large-scale biometric de-duplication?

The system uses advanced de-duplication software to ensure that each individual has a unique identity. It identifies duplicate records during the enrollment process, which is critical for national-level projects like citizen identification, voter registration, and civil ID issuance.

Is the system compliant with international biometric standards?

Yes, MULTI MABIS is fully compliant with MINEX, ANSI, and ISO template standards. This ensures full interoperability with international biometric formats and seamless communication with third-party biometric systems via its modern RESTful API.

What is the matching speed and performance capability of the system?

MULTI MABIS is engineered for extreme performance, capable of processing between 40,000 to 200,000 matches per second for Finger, Face, and Iris modalities. This high-performance engine ensures rapid identification even in massive databases containing millions of biometric records.