5 citations · 5 across the 6 of their papers we have counts for
6 papers
Detecting Clear Contact Lenses for Iris Recognition: A Two-Stage Mask-Guided Attention Approach
Parisa Farmanifard, Arun Ross
This work focuses on the impact and detection of clear contact lenses in the context of iris recognition. While the detection of cosmetic or patterned contact lenses has been exten…
Beyond Mortality: Advancements in Post-Mortem Iris Recognition through Data Collection and Computer-Aided Forensic Examination
Rasel Ahmed Bhuiyan, Parisa Farmanifard, Renu Sharma +7
Post-mortem iris recognition brings both hope to the forensic community (a short-term but accurate and fast means of verifying identity) as well as concerns to society (its potenti…
Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition
Redwan Sony, Parisa Farmanifard, Arun Ross +1
In this paper, we address the following question: How do generic foundation models (e.g., CLIP, BLIP, GPT-4o, Grok-4) compare against a domain-specific face recognition model (viz.…
Benchmarking Foundation Models for Zero-Shot Biometric Tasks
Redwan Sony, Parisa Farmanifard, Hamzeh Alzwairy +2
The advent of foundation models, particularly Vision-Language Models (VLMs) and Multi-modal Large Language Models (MLLMs), has redefined the frontiers of artificial intelligence, e…
ChatGPT Meets Iris Biometrics
Parisa Farmanifard, Arun Ross
This study utilizes the advanced capabilities of the GPT-4 multimodal Large Language Model (LLM) to explore its potential in iris recognition - a field less common and more special…
Iris-SAM: Iris Segmentation Using a Foundation Model
Parisa Farmanifard, Arun Ross
Iris segmentation is a critical component of an iris biometric system and it involves extracting the annular iris region from an ocular image. In this work, we develop a pixel-leve…