NDLI: Automatic eye-level height system for face and iris recognition systems

Content Provider	IEEE Xplore Digital Library
Author	Abiantun, R. Savvides, M. Khosla, P.K.
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA (Abiantun, R.; Savvides, M.; Khosla, P.K.)
Abstract	In this paper we present a fully automated mobile camera device platform that will automatically adjust to the eye-levels of the persons in front or approaching the system. This system serves as a front-end to aid the face recognition and iris recognition systems during both the enrollment and verification of different people of variable heights. Currently most systems are positioned at fixed heights and require subjects who are very tall or short to adjust themselves for enrollment. In some cases this requires the enrollment system operator (or officer) to adjust the camera system accordingly to the user's height. This leads to much failure to acquire errors. The current U.S. VISIT system, Immigration officers manually move the camera goose-necks to adjust to the height of the visitors for photographing. The system presented in this paper can fully automate this process by automatically adjusting the height of the camera (or other biometric device such as iris acquisition systems) to provide a good enrollment/verification photo image for matching using the automated face detection to drive the biometric sensors to the appropriate height level. The need for such a system can help the results obtained by the Independent Testing of Iris Recognition Technology (ITIRT) and face recognition systems that can lead to minimal user co-operation.
Sponsorship	CUBS (Center for Unified Biometrics and Sensors) Ultra-Scan CUBRC
Starting Page	155
Ending Page	159
File Size	172243
Page Count	5
File Format	PDF
ISBN	0769524753
DOI	10.1109/AUTOID.2005.15
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Iris recognition Face detection Cameras Biometrics Face recognition Biosensors System testing Data security Access control Technology management Mechanical eye-level system
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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