MegaMatcher Standard Multibiometric SDK

Large Scale AFIS and multi-biometric identification

MegaMatcher is designed for large-scale AFIS and multi-biometric systems developers. The technology ensures high reliability and speed of biometric identification even when using large databases.
Available as a software development kit that allows development of large-scale single- or multi-biometric fingerprint, iris, face, voice or palm print identification products for Microsoft Windows, Linux, Mac OS X, iOS and Android platforms.

Features and Capabilities

• Proven in national-scale projects, including passport issuance and voter deduplication.
• NIST MINEX-compliant fingerprint engine, NIST IREX proven iris engine.
• High performance matching for national-scale systems with MegaMatcher Accelerator.
• Fingerprints, irises and faces can be matched on smart cards using MegaMatcher On Card.
• Includes fingerprint, iris, face, voice and palm print modalities.
• Rolled, flat and latent fingerprint matching.
• BioAPI 2.0 and other ANSI and ISO biometric standards support.
• Effective price/performance ratio, flexible licensing and free customer support.

SDK contents

MegaMatcher SDK is designed for development of large-scale AFIS or multi-biometric identification products. Fingerprint, face, iris, voice and palm print recognition engines are included in MegaMatcher (Current Version) SDK.

MegaMatcher (Current Version) SDK includes server-side software and a set of modules for developing client-side applications. .NET components are included for rapid development of client-side software. MegaMatcher (Current Version) supports BioAPI (Current Version). To ensure system compatibility with other software, WSQ component is available, as well as modules for conversion between MegaMatcher template and biometric standards.

MegaMatcher (Current Version) is suitable not only for developing civil AFIS, but also for forensic AFIS applications, as it includes an API for latent fingerprint template editing. Latent fingerprint template editing is necessary in order to submit a latent fingerprint (for example, one taken from a crime scene) for the identification into AFIS. Also MegaMatcher is able to match rolled and flat fingerprints between themselves.

These types of MegaMatcher (Current Version) SDK are available:

• MegaMatcher (Current Version) Standard SDK for developing a client/server based multi-biometric fingerprint-face-iris identification product. This SDK is suitable for network-based and web-based systems with database size ranging from several thousand records up to million records. The SDK includes ready-to-use server-side software and a set of components for developing client-side applications on Microsoft Windows, Android, iOS, Linux and Mac OS X.
• MegaMatcher (Current Version) Extended SDK for developing a large-scale network-based AFIS or multi-biometric identification product. The SDK includes all components of MegaMatcher (Current Version) Standard SDK and MegaMatcher Accelerator software, which can be used for fault-tolerant scalable cluster software for fast parallel matching, processing high number of identification requests and handling databases with practically unlimited size. This SDK also allows to develop network-based and web-based systems.

The table below compares MegaMatcher (Current Version) Standard SDK and MegaMatcher (Current Version) Extended SDK. See the licensing model for more information on specific license types.

Notes:
(1) Fingerprint Client component includes Fingerprint Extractor, Fingerprint Segmenter, Fingerprint BSS and Fingerprint WSQ components, which can be also obtained separately.
(2) Face Client component includes Face Extractor, Face Token Image and Face BSS components, which can be also obtained separately.
(3) Iris Client component includes Iris Extractor and Iris BSS components, which can be also obtained separately.

MegaMatcher (Current Version) SDK includes programming samples and tutorials that show how to use the components of the SDK to perform fingerprint, face and iris template extraction or matching against other templates. The samples and tutorials are available for these programming languages and platforms: