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Automated Biometric Identification System

Automated Biometric Identification System

Automated Biometric Identification System (ABIS)

An Automated Biometric Identification System (ABIS) for Large-Scale Biometric Identification and Deduplication Using Fingerprint, Face, and Iris Recognition

AwareABIS™

Is an Automated Biometric Identification System (ABIS) used for large-scale biometric identification and deduplication using fingerprint, face, and iris recognition. It is a highly scalable 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 data and matching algorithms across a cluster of multiple computing nodes.

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. AwareABIS™ 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.

 

Applications

  • Automated fingerprint identification system (AFIS)
  • Large-scale biometric identification and deduplication
  • Civil identity proofing
  • National ID
  • Border management
  • Law enforcement and investigation

Functionality

  • Fingerprint recognition
  • Facial recognition / face recognition
  • 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

Browser-based system monitoring and reporting

Algorithm-independent

Highly scalable

Open source-based components

In-memory template storage

Fault-tolerant

Support for multi-stage algorithms

AwareABIS™ is built upon several mature, high-performance, field-proven applications, platforms, and algorithms from Aware. Components are available a la carte depending on the application and system requirements. It is also compatible with 3rd party biometric matching algorithms.

NEXA SDKs

 

Nexa|Fingerprint™

SDK for fingerprint-based biometric identification and authentication

 

Nexa|Fingerprint provides high-performance biometric algorithms for multistage fingerprint recognition and identification or rapid, high-volume fingerprint authentication. Nexa APIs are reliable, configurable, and easy to use, complemented by a level of technical support that has helped make Aware a trusted provider of high-quality biometric software for over twenty years.

 

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 tools that help quantify system performance, identify opportunities for improvement, and continuously optimize the system.

 

Fast, Accurate, and Scalable

 

 

Well-designed, easy-to-use APIs

 

Fully scalable and extensible

 

Tunable for performance optimization

 

Support for authentication, identification, and deduplication

 

Human-interpretable match and confidence scores

 

Seamless operation with Aware’s other modular products

 

 

Nexa|Fingerprint used in AwareABIS™

Nexa SDKs can be deployed as part AwareABIS™, a scalable biometric recognition and authentication platform that enables cluster computing optimized for rapid biometric search of extremely large databases or for high-volume biometric authentication.

 

 

Nexa|Fingerprint used in Astra™

Astra™ is a cluster computing platform used for large-scale biometric identification and deduplication using fingerprint, face, and iris recognition. It is a highly scalable 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 data and matching algorithms across a cluster of multiple computing nodes.

 

 

Nexa|Face™

 

SDK for facial recognition and authentication

 

 

Nexa|Face™ provides high-performance biometric algorithms for multistage facial recognition and identification or rapid, high-volume face authentication. Nexa APIs are reliable, configurable, and easy to use, complemented by a level of technical support that has helped make Aware a trusted provider of high-quality biometric software for over twenty years.

 

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 tools that help quantify system performance, identify opportunities for improvement, and continuously optimize the system.

 

Fast, Accurate, and Scalable

 

Well-designed, easy-to-use APIs

 

Fully scalable and extensible

 

Tunable for performance optimization

 

Support for authentication, identification, and deduplication

 

Human-interpretable match and confidence scores

 

Seamless operation with Aware’s other modular products

 

 

Nexa|Face used in AwareABIS™

Nexa SDKs can be deployed as part AwareABIS™, a scalable biometric recognition and authentication platform that enables cluster computing optimized for rapid biometric search of extremely large databases or for high-volume biometric authentication.

 

 

Nexa|Face used in Astra™

Astra™ is a cluster computing platform used for large-scale biometric identification and deduplication using fingerprint, face, and iris recognition. It is a highly scalable 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 data and matching algorithms across a cluster of multiple computing nodes.

 

 

Nexa|Face used in Knomi™

The Knomi mobile biometric authentication framework is a collection of biometric SDKs running on mobile devices and a server that together enable strong, multi-factor, password-free authentication from a mobile device using biometrics. Knomi offers multiple biometric modality options, including facial recognition, keystroke dynamics, and voice authentication as means to authenticate.

 

 

Nexa|Iris™

 

SDK for iris recognition and authentication

 

Nexa|Iris™ is a high-performance iris recognition and authentication algorithm. Nexa APIs are reliable, configurable, and easy to use, complemented by a level of technical support that has helped make Aware a trusted provider of high-quality biometric software for over twenty years.

 

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 tools that help quantify system performance, identify opportunities for improvement, and continuously optimize the system.

 

Fast, Accurate, and Scalable

 

Well-designed, easy-to-use APIs

 

Fully scalable and extensible

 

Tunable for performance optimization

 

Support for authentication, identification, and deduplication

 

Human-interpretable match and confidence scores

 

Seamless operation with Aware’s other modular products

 

 

Nexa|Iris used in AwareABIS™

Nexa SDKs can be deployed as part AwareABIS™, a scalable biometric recognition and authentication platform that enables cluster computing optimized for rapid biometric search of extremely large databases or for high-volume biometric authentication.

 

 

Nexa|Iris used in Astra™

Astra™ is a cluster computing platform used for large-scale biometric identification and deduplication using fingerprint, face, and iris recognition. It is a highly scalable 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 data and matching algorithms across a cluster of multiple computing nodes.

 

 

Nexa|Voice™

 

Mobile voice authentication SDK

 

Nexa|Voice is an SDK that offers biometric speaker recognition algorithms, software libraries, user interfaces, reference programs, and documentation to use voice biometrics to enable multifactor authentication on iOS and Android devices. Biometric template storage and matching can be performed either on a mobile device or on a server. Nexa|Voice APIs are reliable, configurable, and easy to use, complemented by a level of technical support that has helped make Aware a trusted provider of quality biometric software and solutions for over twenty-five years.

 

High-performance biometric speaker recognition for convenient and secure multifactor authentication

 

Top-tier algorithm performance


Language-independent


Fusion with other modalities


Static or dynamic passphrase options


Liveness detection


Collaborative technical support

 

 

Nexa|Voice used in Astra™

Astra™ is a cluster computing platform used for large-scale biometric identification and deduplication using fingerprint, face, and iris recognition. It is a highly scalable 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 data and matching algorithms across a cluster of multiple computing nodes.

 

 

Nexa|Voice used in Knomi™

 

The Knomi mobile biometric authentication framework is a collection of biometric SDKs running on mobile devices and a server that together enable strong, multi-factor, password-free authentication from a mobile device using biometrics. Knomi offers multiple biometric modality options, including facial recognition, keystroke dynamics, and voice authentication as means to authenticate.

 

Knomi™

 

Knomi™

Mobile Biometric Authentication Framework

 

The Knomi mobile biometric authentication framework is a collection of biometric SDKs running on mobile devices and a server that together enable strong, multi-factor, password-free authentication from a mobile device using biometrics. Knomi offers multiple biometric modality options, including facial recognition, keystroke dynamics, and voice authentication as means to authenticate. Banks or any other commercial enterprise can deploy Knomi to enhance their password-based authentication mechanisms, making login to their mobile applications more secure and convenient for their customers and employees. Knomi software components can be used in different combinations and configurations to enable either a server-centric architecture or a device-centric, FIDO® Certified implementation.

  • Device- or server-centric biometric matching and template storage
  • Several biometric modality options, including face, voice, and keystroke dynamics
  • High-performance facial recognition and liveness detection, addressing multiple attack modes with or without user interaction
  • Keystroke+Face Authenticator captures face and keystroke simultaneously, with fusion of biometric results for boosted accuracy and liveness detection performance
  • Voice+Face Authenticator offers market-leading performance for speaker recognition and liveness detection
  • FIDO® Certified UAF Face Authenticator, Client, and ServerAll components are available as a la carte SDKs with reference application code
  • iOS and Android versions
 

MOBILE BANKING AND PAYMENTS - ENTERPRISE SECURITY - MOBILE APP LOGIN

 

Several biometric modalities are supported for superior security and flexibility

 

 

Device- and server-centric architectures are supported, including FIDO®

 

Three architectures are supported: Device-Centric, FIDO® Certified, and Server-Centric. Knomi D offers software that performs all functions on the device. Knomi F adds FIDO Certified and FIDO Ready components. Knomi S moves functions to the server, including biometric template creation, matching and storage.

 

Modular software components are available a la carte or as a bundle

 

 

Knomi D

Device-Centric Authentication

Biometric template storage and matching is performed on the device, as are algorithms for autocapture, liveness detection, and spoof detection.

  • Mobile Face Authenticator. SDKs running on the device to perform facial image capture and analysis designed to quickly capture high-quality facial images and detect spoof attempts. Biometric template generation and comparison are also performed. Incorporates elements of Aware’s PreFace and Nexa|Face™ SDKs.
  • Mobile Keystroke+Face Authenticator. This authenticator applies keystroke dynamics and facial recognition simultaneously to achieve exponential performance improvements in both biometric matching and spoof detection.
  • Mobile Voice+Face Authenticator. This authenticator applies both voice and face authentication, with simultaneous capture for an ideal user experience.

 

Knomi F

FIDO® Certified Authentication

Knomi F is a family of software products for biometric authentication that are either FIDO Ready as conformant with the specifications of the FIDO Alliance or additionally FIDO® Certified and interoperable with other FIDO-certified products.

  • FIDO Face Authenticator. FIDO Face Authenticator allows a user to login to a mobile application of a relying party (such as a banking app) using their face for authentication. It applies interactive liveness detection, including eye blinking. The facial biometric sample never leaves the security boundaries of the authenticator application. FIDO Face Authenticator is Level 1 UAF version 1.1 FIDO Certified for Android and iOS.

  • FIDO Keystroke+Face Authenticator. This authenticator applies keystroke dynamics and facial recognition simultaneously to achieve exponential performance improvements in both biometric matching and spoof detection. This authenticator is FIDO Ready.

  • FIDO Voice+Face Authenticator.  This authenticator applies voice and face authentication and liveness detection, with simultaneous capture for an ideal user experience. This authenticator is Level 1 UAF version 1.1 FIDO Certified for Android and iOS.

  • FIDO Client. FIDO® Client is the intermediary application that helps to bind FIDO authenticators with the relying party mobile application. FIDO Client can look up all FIDO authenticators on the device, and communicate via JSON messages standardized by the FIDO ASM API. FIDO Client is FIDO Certified.

  • FIDO Server. FIDO® Server enables a relying party server to offer FIDO-based login from their mobile applications. FIDO® Server encapsulates the FIDO features required at the server, such as maintenance of the FIDO login policies, management of the public keys, and verification of the signatures created on the mobile device. FIDO Server is FIDO Certified.

More information about FIDO Certified authentication products can be found here.

 

Knomi S

Server-Centric Authentication

Biometric template storage and matching are performed on the server, with algorithms for autocapture and liveness/spoof detection operating on both the device and on the server.

  • Mobile Face Client. Application running on the device to perform facial image capture and analysis designed to capture high-quality facial images quickly and to detect spoof attempts. Built upon the PreFace Mobile SDK.
  • Face Authentication Service. Server-based software API for facial template storage and matching. Built upon the Nexa|Face SDK.
  • Face Liveness Service.  Server-based API for facial image analysis, including liveness detection and spoof detection. Built upon the PreFace SDK.
  • Keystroke+Face Authentication Service. This authenticator applies keystroke dynamics and facial recognition simultaneously to achieve exponential performance improvements in both biometric matching and spoof detection.
  • Voice Authentication Service. This authenticator applies high-performance voice authentication, offering an alternative to facial recognition when preferred by the user or in conditions when facial recognition is insufficient.

 

Knomi Server

Knomi Server is the component of the Knomi mobile biometric authentication framework that can be integrated with identity servers to quickly enable them with password-free multifactor authentication (MFA) using biometrics on a mobile device.

For organizations using an identity and access management (IAM) platform to implement secure access control, SSO, and federation for employees or customers, adding Knomi enables users to login to assets normally accessible by PC or browser with a username and password by instead biometrically authenticating on their mobile device in an “out-of-band” fashion. Knomi Server has been integrated with several leading identity and access management products. Any enterprise can integrate Knomi to enhance their identity platform with multifactor authentication using out-of-band mobile biometrics, making login to their online assets more secure and convenient for their employees.

Out of Band Multifactor authentication using mobile biometrics