DocumentCode :
1142281
Title :
Evaluation of a facial recognition algorithm across three illumination conditions
Author :
Kukula, Eric P. ; Elliott, Stephen J.
Author_Institution :
Purdue Univ., West Lafayette, IN, USA
Volume :
19
Issue :
9
fYear :
2004
Firstpage :
19
Lastpage :
23
Abstract :
This work evaluated the performance of a commercially available face recognition algorithm for the verification of an individual´s identity pertaining to three enrollment illumination levels. Existing facial recognition technology from still or video sources is becoming a practical tool for law enforcement, security, and counter-terrorist applications despite the limitations of the current technology. At this time, facial recognition has been implemented in limited applications, but has not been exhaustively studied in adverse conditions, which has initiated continuing study aimed at improving algorithms to compare images or representations of images to recognize a suspect (Paul, 2002). Moreover, this evaluation examined the influence of variations in illumination levels on the performance of a face recognition algorithm, specifically testing the significance between verification attempts and enrollment conditions with respect to factors of age, gender, ethnicity, facial characteristics, and facial obstructions. The results of this evaluation showed that for low and medium illuminance enrollments, there was a statistically significant difference between verification attempts made at low, medium, and high illuminance. However, for the high illuminance enrollment, there was no statistically significant difference between verification attempts made at low, medium, or high illuminance. Furthermore, this evaluation showed that the enrollment illumination level is a better indicator of the verification rate than the verification illumination level.
Keywords :
biometrics (access control); face recognition; image representation; counter-terrorist applications; face recognition algorithm; facial characteristics; facial obstructions; illumination condition; image recognition; image representation; individual identity; law enforcement applications; security applications; video sources; Cranes; Design for experiments; Face recognition; Hair; Image recognition; Law enforcement; Lighting; NIST; Security; Testing;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems Magazine, IEEE
Publisher :
ieee
ISSN :
0885-8985
Type :
jour
DOI :
10.1109/MAES.2004.1346921
Filename :
1346921
Link To Document :
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