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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

MegaMatcher is tailored for developers of extensive AFIS and multi-biometric systems, offering exceptional reliability and rapid biometric identification capabilities, even with substantial databases. This technology is provided as a software development kit, enabling the creation of expansive single or multi-biometric identification solutions for fingerprints, iris, facial recognition, voice, or palm prints across various platforms such as Microsoft Windows, Linux, macOS, iOS, and Android. Its effectiveness has been demonstrated in national-scale initiatives, including the issuance of passports and the elimination of duplicate voter registrations. The system features a NIST MINEX-compliant fingerprint engine and a NIST IREX-validated iris engine. Additionally, it provides a comprehensive multi-biometric solution through MegaMatcher ABIS for large identification projects, ensuring high-performance matching is achieved with the MegaMatcher Accelerator. The technology also supports matching fingerprints, irises, and faces directly on smart cards via MegaMatcher On Card. Overall, it encompasses a wide range of modalities, including fingerprint, iris, facial recognition, voice, and palm print identification, making it a versatile choice for various biometric applications.

Description

NetOwl NameMatcher, recognized for its excellence in the MITRE Multicultural Name Matching Challenge, delivers unparalleled accuracy, speed, and scalability in name matching solutions. By employing an innovative machine learning framework, NetOwl effectively tackles the intricate challenges of fuzzy name matching. Conventional methods like Soundex, edit distance, and rule-based systems often face significant issues with precision, leading to false positives, and recall, resulting in false negatives, when confronting the diverse fuzzy name matching scenarios outlined previously. In contrast, NetOwl leverages a data-driven, machine learning-based probabilistic strategy to address these name matching difficulties. It automatically generates sophisticated, probabilistic name matching rules from extensive, real-world multi-ethnic name variant datasets. Furthermore, NetOwl employs distinct matching models tailored to various entity types, such as individuals, organizations, and locations. To add to its capabilities, NetOwl also integrates automatic detection of name ethnicity, enhancing its adaptability to the complexities of multicultural name matching. This comprehensive approach ensures a higher level of accuracy and reliability in diverse applications.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
SolrCommerce
Tableau

Integrations

ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
SolrCommerce
Tableau

Pricing Details

€2,590 one-time payment
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Neurotechnology

Founded

1998

Country

United States

Website

www.neurotechnology.com/megamatcher.html

Vendor Details

Company Name

NetOwl

Founded

1996

Country

United States

Website

www.netowl.com/name-matching-software

Product Features

Product Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

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Alternatives

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