Summary: Face recognition: evaluation report for FaceItŪ Identification
, Besma Abidi, Joonki Paik, and Mongi Abidi.
Imaging, Robotics, and Intelligent Systems Laboratory
Department of Electrical and Computer Engineering
The Universityof Tennessee, Knoxville
The commercial face recognition software FaceItŪ Identification and Surveillance was evaluated using the
Facial Recognition Technology (FERET) database. The experimental results show the performance of
FaceItŪ with variations in illumination, expression, age, head size, pose, and the size of the database which
all remain difficult problems in face recognition technology.
Keywords : FaceItŪ, Identification, Surveillance, FERET, illumination, expression, age, pose, size.
This paper discusses the experimental results from evaluation of the FaceItŪ software. FaceItŪ is a face
recognition software that uses a Local Feature Algorithm (LFA) and is believed to have the highest
accuracy of any commercial facial recognition software1
. We included the results of both the identification,
which uses still images, and the surveillance aspects, which use live video input. Two of the most critical
requirements in support of producing reliable face-recognition systems are a large database of facial images