Neurotechnology company logo
Menu button
Home / Biometrics / MegaMatcher ID
Home › Biometrics › MegaMatcher ID

MegaMatcher ID

Multi-biometric identity authentication for secure mobile and web applications

The MegaMatcher ID system includes a multi-platform SDK and a web service for the integration of secure, contactless face, voice and fingerprint authentication into mobile and web applications.

Face liveness detection functionalities are included to implement robust anti-spoofing mechanism with the possibility of configuring the balance between security and usability of the application.

Available on Android, iOS, Microsoft Windows, macOS and Linux platforms.

Key Features and Capabilities

  • Registration and authentication. Biometric engines are used to register a person with their face, voiceprint and/or fingerprints, and later authenticate the person. ISO 19794-5 checks, age estimation, hats detection and glasses detection can be also performed.
  • Presentation Attack Detection (PAD). A set of specialized algorithms prevents fraud by checking if a real, live person is interacting with the MegaMatcher ID-based system, or someone is trying to impersonate a different person.
  • Three biometric modalities. Face, voice and contactless fingerprints (slap) can be chosen for enrollment and later user authentication.
  • Web service. The Web service component allows easy on-premise installation for using a light-weight browser or mobile app with live video stream capture.
  • Mobile device SDK. The SDK component features a compact library to develop native, stand-alone apps for mobile devices.
  • Security and privacy. Depending on the implementation, face images and biometric templates can be stored and used on the end-user device, server, or both, and are required only for template creation and face liveness detection, after which they can be discarded.
  • Developer-friendly. Simple and comprehensive API provides operations for enrolling, verification, liveness check, quality check, as well as template interchange with other Neurotechnology products. Programming samples in multiple languages are available.
  • Use-based licensing. The licensing model is based on the actual use of the system with only successful operations counted.

Applications

Neurotechnology MegaMatcher ID system is intended for developing end-user mobile and web applications which perform identity verification on personal devices (smartphones, tablets) in systems like:

  • digital onboarding;
  • online banking;
  • payments;
  • shops self-checkout;
  • government e-services;
  • social networks and media sharing services.

Functionalities

Person Registration

A biometrc sample is captured for template creation, which is then used for identity verification. Encrypted data provided upon successful enrollment.

These biometric modalities are supported:

  • Face – captured via camera or a web stream, with optional ICAO compliance check, age estimation, and detection of glasses and hats, potentially leading to warnings for images that don't meet set quality standards. Face liveness check can also be optionally performed during the capture. The facial template can be also transformed into a QR code.
  • Slap – captured using smartphone camera in a contactless way, requiring a user to show their fingers in front of the camera. Fingerprints are extracted from the captured image. Slap image quality check and fingerprint segmentation can be also optionally performed during the capture.
  • Voice – captured via microphone or a web stream.

For privacy considerations the biometric data can be kept on the end-user device without any exposure.

Identity Verification

A captured biometric sample is verified against the corresponding biometric template which was created during the person registration. A face template can be also captured with an app, based on VeriLook SDK or obtained from a QR code.

These biometric modalities are supported:

  • Face – captured via camera or a web stream. Also can be obtained from a QR code or a VeriLook-based app, Face liveness check can also be optionally performed during the capture.
  • Slap – captured using smartphone camera in a contactless way. Slap image quality check and fingerprint segmentation can be also optionally performed during the capture.
  • Voice – captured via microphone or a web stream.

For privacy considerations the biometric data can be kept on the end-user device without any exposure.

Advanced Operations

MegaMatcher ID allows to perform these advanced operations without performing person's registration or verification

  • Face liveness check – an unsupervised identity verification system can be tricked by several types of attacks, like presenting an image of another person's face in front of a camera. The MegaMatcher ID is able to prevent this kind of security breach by determining whether a face in a video stream belongs to a real person in front of the camera. The liveness detection can be performed in completely passive mode, when no cooperation is required from the user, and in active mode when the algorithm, in addition to passive checks, evaluates also user's response to perform actions like blinking or head movements.
  • Slap image quality assessment – the obtained value can be used for rejecting the provided image.
  • Slap fingerprint segmentation – images of single fingerprints are separated from the provided four-finger slap image. The fingers are provided in binarized and original form. Also, the positions of the fingers are evaluated, with values, like "left index" or "right middle" provided

Products
Company
Other
Facebook icon   LinkedIn icon   Twitter icon   Youtube icon   Email newsletter icon
Copyright © 1998 - 2024 Neurotechnology