Handheld multi-sensor biometric imaging device and processing pipeline
Abstract
A handheld biometric imaging device having an array of cameras configured to simultaneously capture face, iris and fingerprint biometrics of a subject. The device includes a plurality of visible-light cameras and a plurality of infrared-light cameras capable of being triggered simultaneously to obtain a plurality of images from which a 3D image of the light field can be constructed. The device includes a plurality of visible-light illuminators and a plurality of infrared-light illuminators that allow images of a subject to be captured under different lighting profiles. The device may include an onboard control system that is capable of reconstructing a face region, an iris region and a fingerprint region from the 3D light-field image, and then extract a corresponding face template, an iris template, and a fingerprint template from the respective reconstructed regions. The extracted face, iris, and fingerprint templates may be used for enrollment and/or comparison against a biometric-template database associated with one or more watchlists.
- Inventors:
- Issue Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1892966
- Patent Number(s):
- 11341224
- Application Number:
- 17/162,319
- Assignee:
- UT-Battelle, LLC (Oak Ridge, TN)
- Patent Classifications (CPCs):
-
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
H - ELECTRICITY H04 - ELECTRIC COMMUNICATION TECHNIQUE H04N - PICTORIAL COMMUNICATION, e.g. TELEVISION
- DOE Contract Number:
- AC05-00OR22725
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 01/29/2021
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Bolme, David S., Santos Villalobos, Hector J., and Mikkilineni, Aravind K. Handheld multi-sensor biometric imaging device and processing pipeline. United States: N. p., 2022.
Web.
Bolme, David S., Santos Villalobos, Hector J., & Mikkilineni, Aravind K. Handheld multi-sensor biometric imaging device and processing pipeline. United States.
Bolme, David S., Santos Villalobos, Hector J., and Mikkilineni, Aravind K. Tue .
"Handheld multi-sensor biometric imaging device and processing pipeline". United States. https://www.osti.gov/servlets/purl/1892966.
@article{osti_1892966,
title = {Handheld multi-sensor biometric imaging device and processing pipeline},
author = {Bolme, David S. and Santos Villalobos, Hector J. and Mikkilineni, Aravind K.},
abstractNote = {A handheld biometric imaging device having an array of cameras configured to simultaneously capture face, iris and fingerprint biometrics of a subject. The device includes a plurality of visible-light cameras and a plurality of infrared-light cameras capable of being triggered simultaneously to obtain a plurality of images from which a 3D image of the light field can be constructed. The device includes a plurality of visible-light illuminators and a plurality of infrared-light illuminators that allow images of a subject to be captured under different lighting profiles. The device may include an onboard control system that is capable of reconstructing a face region, an iris region and a fingerprint region from the 3D light-field image, and then extract a corresponding face template, an iris template, and a fingerprint template from the respective reconstructed regions. The extracted face, iris, and fingerprint templates may be used for enrollment and/or comparison against a biometric-template database associated with one or more watchlists.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2022},
month = {5}
}
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Works referenced in this record:
High performance imaging using large camera arrays
journal, July 2005
- Wilburn, Bennett; Joshi, Neel; Vaish, Vaibhav
- ACM Transactions on Graphics, Vol. 24, Issue 3
Light Field Image Processing: An Overview
journal, October 2017
- Wu, Gaochang; Masia, Belen; Jarabo, Adrian
- IEEE Journal of Selected Topics in Signal Processing, Vol. 11, Issue 7
Plenoptic camera with large depth of field
patent, May 2011
- Georgiev, Todor G.
- US Patent Document 7,949,252
Iris recognition via plenoptic imaging
patent, November 2017
- Santos-Villalobos, Hector J.; Boehnen, Chris Bensing; Bolme, David S.
- US Patent Document 9,811,729
A new perspective — Face recognition with light-field camera
conference, June 2013
- Raghavendra, R.; Yang, Bian; Raja, Kiran B.
- 2013 International Conference on Biometrics (ICB)
Combining Iris and Periocular Recognition Using Light Field Camera
conference, November 2013
- Raghavendra, R.; Raja, Kiran B.; Yang, Bian
Iris recognition via plenoptic imaging
patent, August 2019
- Santos-Villalobos, Hector J.; Boehnen, Chris Bensing; Bolme, David S.
- US Patent Document 10,380,421
Exploring the Usefulness of Light Field Cameras for Biometrics: An Empirical Study on Face and Iris Recognition
journal, May 2016
- Raghavendra, R.; Raja, Kiran Bylappa; Busch, Christoph
- IEEE Transactions on Information Forensics and Security, Vol. 11, Issue 5
Super-resolution with the focused plenoptic camera
patent, November 2012
- Georgiev, Todor G.; Lumsdaine, Andrew
- US Patent Document 8,315,476
Frontal view reconstruction for iris recognition
patent, February 2015
- Santos-Villalobos, Hector J.; Bolme, David S.; Boehnen, Chris Bensing
- US Patent Document 8,958,608
System and Method for 3D Iris Recognition
patent-application, December 2015
- Mears, John C.
- US Patent Application 14/722886; 20150347841 A1
Focused plenoptic camera employing different apertures or filtering at different microlenses
patent, July 2012
- Georgiev, Todor G.; Lumsdaine, Andrew
- US Patent Document 8,228,417