TY - GEN
T1 - A standoff multimodal biometric system
AU - Boehnen, Chris
AU - Mann, Chris
AU - Patlolla, Dilip
AU - Barstow, Del
PY - 2011
Y1 - 2011
N2 - Biometric authentication modalities such as face and iris recognition provide a minimally invasive means to uniquely identify individuals and verify identity. Most commercially available biometric systems perform authentication based on a single modality and/or only capture features from a short distance. Most existing standoff iris sensors capture at a lower frame rate, lower resolution, and wider field of view than our system. This work describes the design of a prototype standoff biometric sensor. The complete system is comprised of three sensors, their respective software control modules, and a command and control graphical user interface. Sensor 1 is a high resolution monochrome camera with telephoto zoom and video rate image acquisition. Co-aligned, collimated near infrared (NIR) light emitting diodes (LEDs) provide controlled illumination to facilitate the capture of face and iris images. Sensor 2 is a monochrome stereo camera that acquires low resolution frontal face images and scene depth information. Sensor 3 is dual spectrum camera that acquires pixel registered visible and NIR images at video rate. Ambient room light and NIR flood LEDs provide illumination for capturing profile face and gait images. Real-time analysis of the stereo camera output provides feedback for pan, tilt, zoom, and focus of the sensor platform. A Modularized software control system provides scalability and flexible management. Commodity hardware can be used to control all system components with the exception of sensor 1.
AB - Biometric authentication modalities such as face and iris recognition provide a minimally invasive means to uniquely identify individuals and verify identity. Most commercially available biometric systems perform authentication based on a single modality and/or only capture features from a short distance. Most existing standoff iris sensors capture at a lower frame rate, lower resolution, and wider field of view than our system. This work describes the design of a prototype standoff biometric sensor. The complete system is comprised of three sensors, their respective software control modules, and a command and control graphical user interface. Sensor 1 is a high resolution monochrome camera with telephoto zoom and video rate image acquisition. Co-aligned, collimated near infrared (NIR) light emitting diodes (LEDs) provide controlled illumination to facilitate the capture of face and iris images. Sensor 2 is a monochrome stereo camera that acquires low resolution frontal face images and scene depth information. Sensor 3 is dual spectrum camera that acquires pixel registered visible and NIR images at video rate. Ambient room light and NIR flood LEDs provide illumination for capturing profile face and gait images. Real-time analysis of the stereo camera output provides feedback for pan, tilt, zoom, and focus of the sensor platform. A Modularized software control system provides scalability and flexible management. Commodity hardware can be used to control all system components with the exception of sensor 1.
KW - biometric identification
KW - multimodal biometrics
KW - standoff iris recognition
UR - http://www.scopus.com/inward/record.url?scp=84876087057&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84876087057&partnerID=8YFLogxK
U2 - 10.1109/FIIW.2011.6476804
DO - 10.1109/FIIW.2011.6476804
M3 - Conference contribution
AN - SCOPUS:84876087057
SN - 9781467358361
T3 - 2011 Future of Instrumentation International Workshop, FIIW 2011 - Proceedings
SP - 110
EP - 113
BT - 2011 Future of Instrumentation International Workshop, FIIW 2011 - Proceedings
T2 - 2011 Future of Instrumentation International Workshop, FIIW 2011
Y2 - 7 November 2011 through 8 November 2011
ER -