Search Results for author: Keivan Bahmani

Found 8 papers, 5 papers with code

Generalizability and Application of the Skin Reflectance Estimate Based on Dichromatic Separation (SREDS)

1 code implementation3 Sep 2023 Joseph Drahos, Richard Plesh, Keivan Bahmani, Mahesh Banavar, Stephanie Schuckers

In this work, we provide a further analysis of the generalizability of the Skin Reflectance Estimate based on Dichromatic Separation (SREDS) against other skin tone metrics and provide a use case for substituting race labels for SREDS scores in a privacy-preserving learning solution.

Face Recognition Privacy Preserving

Deep Age-Invariant Fingerprint Segmentation System

no code implementations6 Mar 2023 M. G. Sarwar Murshed, Keivan Bahmani, Stephanie Schuckers, Faraz Hussain

However, segmenting or auto-localizing all fingerprints in a slap image is a challenging task due to the different orientations of fingerprints, noisy backgrounds, and the smaller size of fingertip components.

Segmentation

Face Recognition In Children: A Longitudinal Study

1 code implementation4 Apr 2022 Keivan Bahmani, Stephanie Schuckers

Our experiment using YFA and a state-of-the-art, quality-aware face matcher (MagFace) indicates 98. 3% and 94. 9% TAR at 0. 1% FAR over 6 and 36 Months age-gaps, respectively, suggesting that face recognition may be feasible for children for age-gaps of up to three years.

Face Recognition TAR

Deep Slap Fingerprint Segmentation for Juveniles and Adults

1 code implementation IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) 2021 M. G. Sarwar Murshed, Robert Kline, Keivan Bahmani, Faraz Hussain, Stephanie Schuckers

Subsequently, the dataset is used to evaluate the matching performance of the NFSEG, a slap fingerprint segmentation system developed by NIST, on slaps from adults and juvenile subjects.

Segmentation

High Fidelity Fingerprint Generation: Quality, Uniqueness, and Privacy

1 code implementation21 May 2021 Keivan Bahmani, Richard Plesh, Peter Johnson, Stephanie Schuckers, Timothy Swyka

In this work, we utilize progressive growth-based Generative Adversarial Networks (GANs) to develop the Clarkson Fingerprint Generator (CFG).

Vocal Bursts Intensity Prediction

Fingerprint Presentation Attack Detection utilizing Time-Series, Color Fingerprint Captures

no code implementations8 Apr 2021 Richard Plesh, Keivan Bahmani, Ganghee Jang, David Yambay, Ken Brownlee, Timothy Swyka, Peter Johnson, Arun Ross, Stephanie Schuckers

This paper demonstrates the viability of utilizing a sensor with time-series and color-sensing capabilities to improve the robustness of a traditional fingerprint sensor and introduces a comprehensive fingerprint dataset with over 36, 000 image sequences and a state-of-the-art set of spoofing techniques.

Feature Engineering General Classification +2

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