Search Results for author:
Found 8 papers, 2 papers with code
Human Saliency-Driven Patch-based Matching for Interpretable Post-mortem Iris Recognition
Forensic iris recognition, as opposed to live iris recognition, is an emerging research area that leverages the discriminative power of iris biometrics to aid human examiners in their efforts to identify deceased persons.
Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognition
In this paper, we present an end-to-end deep learning-based method for postmortem iris segmentation and recognition with a special visualization technique intended to support forensic human examiners in their efforts.
Techniques and Applications for Crawling, Ingesting and Analyzing Blockchain Data
We then discuss how crawled public blockchain data can be analyzed using two unsupervised machine learning algorithms, which are designed to identify outlier accounts or smart contracts in the system.
Predicting Gender from Iris Texture May Be Harder Than It Seems
Predicting gender from iris images has been reported by several researchers as an application of machine learning in biometrics.
Ensemble of Multi-View Learning Classifiers for Cross-Domain Iris Presentation Attack Detection
The adoption of large-scale iris recognition systems around the world has brought to light the importance of detecting presentation attack images (textured contact lenses and printouts).
Cross-Domain Iris Presentation Attack Detection
Iris Recognition
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Found a good match: should I keep searching? - Accuracy and Performance in Iris Matching Using 1-to-First Search
Iris recognition is used in many applications around the world, with enrollment sizes as large as over one billion persons in India's Aadhaar program.
Gender-From-Iris or Gender-From-Mascara?
Predicting a person's gender based on the iris texture has been explored by several researchers.
An Analysis of 1-to-First Matching in Iris Recognition
In order to improve the speed of large-scale identification, a modified "1-to-First" search has been used in some operational systems.
