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20182026
most citedIris Recognition Performance in Children: A Longitudinal Study

14 citations · 39 across the 32 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

eess.IV2024

Smartphone-based Iris Recognition through High-Quality Visible Spectrum Iris Capture

Naveenkumar G Venkataswamy, Yu Liu, Surendra Singh +3

Iris recognition is widely acknowledged for its exceptional accuracy in biometric authentication, traditionally relying on near-infrared (NIR) imaging. Recently, visible spectrum (…

cs.CV2024

A large-scale study of performance and equity of commercial remote identity verification technologies across demographics

Kaniz Fatima, Michael Schuckers, Gerardo Cruz-Ortiz +6

As more types of transactions move online, there is an increasing need to verify someone's identity remotely. Remote identity verification (RIdV) technologies have emerged to fill…

cs.CR2024★ 1 cited

Securing Biometric Data: Fully Homomorphic Encryption in Multimodal Iris and Face Recognition

Surendra Singh, Lambert Igene, Stephanie Schuckers

Multimodal biometric systems have gained popularity for their enhanced recognition accuracy and resistance to attacks like spoofing. This research explores methods for fusing iris…

eess.IV2024

Post-Mortem Human Iris Segmentation Analysis with Deep Learning

Afzal Hossain, Tipu Sultan, Stephanie Schuckers

Iris recognition is widely used in several fields such as mobile phones, financial transactions, identification cards, airport security, international border control, voter registr…

cs.CV2024

Deep Learning Approach for Ear Recognition and Longitudinal Evaluation in Children

Afzal Hossain, Tipu Sultan, Stephanie Schuckers

Ear recognition as a biometric modality is becoming increasingly popular, with promising broader application areas. While current applications involve adults, one of the challenges…

cs.CV2024

Longitudinal Evaluation of Child Face Recognition and the Impact of Underlying Age

Surendra Singh, Keivan Bahmani, Stephanie Schuckers

The need for reliable identification of children in various emerging applications has sparked interest in leveraging child face recognition technology. This study introduces a long…