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Features and Capabilities •, including passport issuance and voter deduplication. • fingerprint engine, iris engine.

• Turnkey multi-biometric solution for national-scale identification projects with. • High performance matching for large-scale systems with. • Fingerprints, irises and faces can be matched on smart cards using. • 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. • ICAO requirements compliancy check for face images.

• Effective price/performance ratio, flexible licensing and free customer support. MegaMatcher technology for large-scale Automated Biometric Identification Systems was introduced in 2005. Since that time the technology has been constantly improved with more than 10 major and minor versions released to date.

MegaMatcher technology is available as multiplatform SDK, which includes,,, and recognition engines along with a fused algorithm for fast and reliable identification in large-scale systems. The biometric software engines are based on deep neural networks and contain many proprietary algorithmic solutions that are especially useful for large-scale identification problems. Some of these solutions are listed in the fingerprint, face, voice and iris biometric identification engine descriptions below. • Full MINEX Compliance. NIST has recognized MegaMatcher fingerprint algorithm as MINEX compliant and suitable for use in personal identity verification ( PIV) program applications.

Alien ware themes windows 7 64. • Rolled and flat fingerprints matching. The MegaMatcher fingerprint engine matches rolled and flat fingerprints between themselves. Typically, conventional 'flat' fingerprint identification algorithms perform matching between flat and rolled fingerprints less reliably due to the specific deformations of rolled fingerprints. MegaMatcher allows flat-to-flat, flat-to-rolled or rolled-to-rolled fingerprint matching with a high degree of reliability and accuracy. The algorithm matches up to 200,000 flat fingerprint records per second on a single PC. • MegaMatcher includes fingerprint image quality determination, which may be used during enrollment to ensure that only the best quality fingerprint template will be stored in the database. • Template generalization is used to generate a better quality template from several fingerprints.