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Description

IriCoreLite serves as an advanced iris recognition library that equips developers and system integrators with a robust array of application programming interfaces and functionalities to create applications centered around iris recognition technology. Tailored for extensive iris identification implementations on both PCs and enterprise systems, it operates seamlessly with IriTech's iris scanners. The library features precise iris segmentation techniques for feature extraction that utilize variable multi-sector analysis alongside non-linear segmentation, a sophisticated image enhancement tool to adapt to diverse lighting conditions and obstacles, and an efficient occlusion detection system designed to filter out eyelids and eyelashes. Its swift and precise matching algorithm is optimized for handling large databases, while a comprehensive image quality assessment feature guarantees dependable input data. Furthermore, the algorithms within IriCoreLite have undergone stringent evaluations during NIST testing and have consistently demonstrated their effectiveness across various public databases, showcasing their reliability and performance in real-world applications. This makes IriCoreLite a solid choice for developers seeking to implement cutting-edge iris recognition capabilities in their projects.

Description

Ver-ID Credentials facilitates online identity verification by matching a user's selfie with their government-issued photo identification. It is compatible with laminated IDs such as driver's licenses as well as biometric passports, making it suitable for applications that require heightened security. The dependency on costly and potentially insecure external identity verification services is rapidly diminishing. Ver-ID Credentials offers seamless integration of identity verification into various digital business processes. For mobile applications, the identity validity score can be determined entirely on the user's device, enhancing security and privacy. This solution eliminates the risks linked with the export and storage of user images, only retaining them if absolutely necessary for business purposes. Unlike traditional Identity-as-a-Service products that often depend on ‘bolt-on biometrics’, which can lead to high false acceptance rates or necessitate manual verification, Ver-ID Credentials is based on ARI’s advanced face recognition and liveness detection technology. This foundation ensures reliable performance across a diverse array of use cases, providing businesses with a robust tool for identity verification. Additionally, this innovative approach allows for enhanced user trust and confidence in the verification process.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
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

Iritech, Inc.

Founded

2000

Country

United States

Website

iritech.com/iricorelite/

Vendor Details

Company Name

Applied Recognition

Founded

2005

Country

Canada

Website

www.appliedrecognition.com/VerID_Credentials_SDK.html

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