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features
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support

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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

NLREG is an advanced statistical analysis tool designed for both linear and nonlinear regression analysis, as well as for fitting curves and surfaces. It identifies the optimal values of parameters for a user-defined equation, ensuring that it best aligns with a given set of data points. Capable of managing various function types, including linear, polynomial, exponential, logistic, periodic, and more general nonlinear forms, NLREG stands out because it can accommodate nearly any algebraically specified function. Unlike many other nonlinear regression tools that are restricted to a limited selection of functions, NLREG offers a comprehensive range of possibilities. The program incorporates a robust programming language with a syntax akin to C, allowing users to define the function to be fitted while enabling the computation of intermediate variables, the use of conditionals, and the implementation of iterative loops. Furthermore, NLREG simplifies the creation of piecewise functions that can adapt their form across different ranges. Additionally, the inclusion of arrays in the NLREG language facilitates the use of tabular lookup methods to designate the function, providing even greater flexibility for users in their analyses. Overall, NLREG is an invaluable asset for statisticians and data analysts seeking to conduct complex fitting tasks.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Iritech, Inc.

Founded

2000

Country

United States

Website

iritech.com/iricorelite/

Vendor Details

Company Name

NLREG

Website

www.nlreg.com

Product Features

Product Features

Statistical Analysis

Analytics No 
Association Discovery Yes 
Compliance Tracking Yes 
File Management No 
File Storage Yes 
Forecasting No 
Multivariate Analysis No 
Regression Analysis Yes 
Statistical Process Control No 
Statistical Simulation Yes 
Survival Analysis No 
Time Series No 
Visualization No 

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