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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
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