Optimization of Settings for Iris Recognition with VeriEye in C#

Iris recognition is a biometric technique that stands out for its accuracy in security and authentication systems. This article explores the optimization of the VeriEye library in C# to improve the accuracy and speed of recognition, addressing everything from initial setup to integration with other systems. It highlights adjustments in image capture parameters, optimization of processing algorithms, and efficient data management.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-03
DOI
https://doi.org/10.5281/zenodo.14793144
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimization of Settings for Iris Recognition with VeriEye in C#

Zenodo (CERN European Organization for Nuclear Research)
Species Distribution and Climate Change
article

Optimization of Settings for Iris Recognition with VeriEye in C#

article en

Abstract

Iris recognition is a biometric technique that stands out for its accuracy in security and authentication systems. This article explores the optimization of the VeriEye library in C# to improve the accuracy and speed of recognition, addressing everything from initial setup to integration with other systems. It highlights adjustments in image capture parameters, optimization of processing algorithms, and efficient data management.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 34%
Species Distribution and Climate Change
DOIOpen Access PDFOpenAlex
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Optimization of Settings for Iris Recognition with VeriEye in C# · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS