Final Results

This page features condensed results of all the analysis that was done.

Introduction

Introduction

Fairness evaluation studies across Biometric Modalities

Studies

Fairness in Face Recognition

Fairness

Ocular : Motivation

Ocular Motivation

Research Objectives

Research

Covariates to be Studied

Covariates

Datasets Used

Datasets

Gender Classification

Gender Classification

Gender Classification

Updates to Training

Updates

Across Model - VIS

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Across Model - NIR

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Across Model - NIR (Cross Dataset)

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Across Databalance - VIS

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Across Databalance - NIR

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Across Race - VIS

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Across Age - VIS

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Across Modality - VIS

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Across Modality - NIR

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Across Device - VIS

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Across Lighting - VIS

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Across Spectrum

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Subject Verification

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Across Model - VIS

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Across Model - NIR

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Across Databalance - VIS

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Across Databalance - NIR

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Across Race - VIS

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Across Modality - VIS

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Across Modality - NIR

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Across Device - VIS

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Across Lighting - VIS

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Across Spectrum

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Summary

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Sreeraj Ramachandran
Sreeraj Ramachandran
Graduate Research Assistant

My research interests include Computer Vision, Biometrics, Bias AI, GANs and adversarial Attacks

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