UniDataPro/human-iris-images-biometric

Human Iris Dataset

The dataset comprises 5,000+ high-quality iris images from 5,000+ individuals, captured for iris recognition and biometric tasks, with each person contributing left and right eye images to enable verification and identification algorithms. It supports classification of ocular structures, detection of attacks, and analysis of colors, textures, and unique irises for image processing and iris pattern analysis tasks.

By utilizing this dataset researchers and developers can advance recognition methods, identification, and verification algorithms for devices - Get the data

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Example for the dataset

Each image file is named using a unique identifier that encodes the individual's ID, eye side, and capture conditions. The images are accompanied by a CSV metadata file.

Researchers can utilize this dataset to explore recognition technology, biometrics, and spoofing detection methods that aim to prevent identity fraud and ensure reliable biometric verification.

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