Astra™ – Iris Recognition System

An Automated Biometric Identification System (ABIS) for Iris Recognition

Astra™ is an Automated Biometric Identification System (ABIS) used for large-scale iris recognition. It is a highly scalable biometric identification and authentication platform that performs one-to-many search or one-to-one match against large stores of biometrics and other identity data. It does so by deploying biometric and text data and matching algorithms across a cluster of multiple computing nodes.

Read about Nexa™
 fingerprint, face, and iris algorithms that run on Astra

Astra utilizes Aware’s Nexa|Iris™ SDKs and iris recognition algorithms for iris recognition, as well as for biometric authentication. It also uses Inquire™ text search, name match, and identity analytics algorithms. Unlike other ABIS, Astra has the ability to utilize biometric algorithms from other suppliers, as well as other modalities, including voice.

Extremely large biometric databases (tens of millions of records) cannot be stored or efficiently searched on a single computer. Distributing the data and biometric comparison tasks across multiple machines enables even extremely large databases to be searched in only seconds. Astra enables not only massive biometric search tasks but complex filter, search, match, and link operations critical to data preparation and quality assurance functions such as identity resolution and data deduplication.

Astra makes use of an open source distributed computing framework that is in use in a diverse variety of large-scale systems, and thus is field-proven, reliable, and well-supported. Astra is highly fault-tolerant with integrated failover capability, and includes a browser-based system monitoring dashboard that allows administrators to know the performance of the system at all times and be alerted when problems arise.

Astra configures a multi-node computing topology and deploys the algorithms and data for fingerprint, face, and iris recognition to each node, then manages the execution of the millions of operations and results in such a way that maximizes the utilization of the machines and processors. The platform is independent of the algorithms in use, so long as access to 1:1 matching capability of the algorithm is provided. The platform is able to run one or more biometric and text matching algorithms in either staged or parallel search configurations.

Astra Core provides system configuration, management, and monitoring. System topology and workflows are configured. The biometric data cache is managed. Biometric matching algorithms are configured, managed and deployed. A browser-based system monitoring dashboard provides alerts and statistical information about the operation of the system. The cluster controller executes commands and computations across multiple computing nodes. It deploys biometric and text matching algorithms and data to each node.

Astra Iris Recognition Software

Applications

  • Automated fingerprint identification system (AFIS)
  • Large-scale biometric identification and deduplication
  • High-volume, high-availability biometric authentication
  • Public/private cloud-based identity data computing
  • Large-scale identity data quality analysis, identity resolution, and link analysis
  • Know Your Customer
  • Fraud prevention
  • Citizen identity
  • Voting programs

Functionality

  • Iris recognition
  • Distributed biometric and text search and match across multiple computing nodes
  • Support for fingerprint, face, iris, voice, and other biometric modalities
  • Support for text-based pre-filtering of biometric search
  • Support for text-based identity search, match, and link algorithms
  • Identity data deduplication
  • Data quality analysis
  • Identity resolution
  • Link analysis and relationship discovery

Features

  • Highly scalable
  • Fault-tolerant
  • Algorithm-independent
  • Open source-based components
  • Support for multi-stage algorithms
  • In-memory template storage
  • Browser-based system monitoring and reporting

Astra is part of an ecosystem of several modular biometric software products from Aware that together comprise a comprehensive biometric solution that can be configured to fulfill a wide variety of applications.Iris Recognition

Biometric Services Platform (BioSP™) Web-services based application server for biometric processing workflow, subsystem integration, data formatting, image QA, system reporting, and user access control
Nexa|Fingerprint™Nexa|Face™Nexa|Iris™ SDKs for large-scale fingerprint identification, facial recognition, and iris recognition
Inquire™ SDKs for advanced text-based search, name matching, link anaylsis, data quality assessment, and identity resolution
WorkbenchSuite™ A family of workstation applications used to examine, analyze and process biometric data towards identification and data quality improvement.

Nexa™ – Iris Recognition Software

SDKs for Fingerprint Recognition, Face Recognition, and Iris Recognition

Aware’s Nexa|Fingerprint™, Nexa|Face™, and Nexa|Iris™ biometric search and match algorithms perform fingerprint recognition, facial recognition, and iris recognition with high accuracy and fast search speeds that are reliable, configurable, and easy to use. Nexa SDKs can be deployed on the Astra™ Automated Biometric Identification System (ABIS) that uses a cluster computing platform optimized for rapid biometric search of extremely large databases, high-volume biometric authentication, as well as identity resolution.Nexa SDKs are designed to be easily configured towards optimization of a system for a given application, database, computing platform, and operational environment. They include configuration tools that help quantify system performance, identify opportunities for improvement, and continuously optimize the system.Aware’s SequenceCheck, PreFace, and IrisCheck SDKs can be used in concert with Nexa libraries to perform optional quality assurance and preprocessing for enhanced fingerprint, face, and iris search functionality and performance.

Applications

  • Iris recognition
  • Iris authentication
  • Automated Biometric Identification System (ABIS)
  • Border management
  • Know Your Customer
  • Citizen ID and voting systems
  • Border management
  • Law enforcement
  • Defense
  • Employee screening

Features

  • Fast, accurate, multistage facial recognition algorithms
  • Well-designed, easy-to-use APIs
  • Fully scalable and extensible
  • Highly configurable and tunable for performance optimization
  • Fully leverages multicore processor power
  • Human-interpretable match scores that estimate false match likelihood
  • Portable between client and server hardware and OS, and database platforms
  • Support for all major image formats
  • Enhanced functionality with optional Aware image preprocessing and QA SDKs
  • C, .NET, JNI, and Web Service interfaces
  • Support for 32-bit and 64-bit Windows and Linux
  • 1:1 biometric match, 1:many biometric search, deduplication
  • Human-interpretable match and confidence scores