Basis generation and description of facial images using principal-component analysis

Nagata, Akinori; Okazaki, T.; Choi, Changkyu; Harashima, Hiroshi

doi:10.1002/(sici)1520-684x(199709)28:10<77::aid-scj9>3.0.co;2-9

Cited by 9 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The comparison value as defined by equation ( 4) in section 4.1 increased rapidly when the size mismatch in the auto-correlation trial exceeded 3%. A similar procedure was successfully adopted by Nagata et al [29] in the basic generation and description of facial images for the purpose of principal-component analysis. We have independently examined the reproducibility of the three-point normalization procedure by carrying out a manual logging experiment 50 times on each of ten people.…”

Section: Principal Architecture Of a Facial Recognition Systemmentioning

confidence: 99%

Facial recognition by a compact parallel optical correlator

Kodate

Inaba

Watanabe

et al. 2002

Meas. Sci. Technol.

View full text Add to dashboard Cite

With the progress of information technology, the need for an accurate personal identification system based on biological characteristics is increasing the demand for this type of security technology instead of conventional systems using ID cards or pin numbers. Among other features, the face is the most familiar element and is less subject to psychological resistance. As a simple and compact recognition system satisfying the required performance, we implemented a hybrid system based on the optical recognition principle using a multi-level zone plate as a Fourier-transform lens and we report the preliminary results of their application to face recognition. In this paper, we present the design procedure and fabrication process for an improved version of a second-generation compact parallel correlator (named COPaC II), the size of which is 20 × 24 × 43 cm3 and weight 6 kg. As a result, we obtained a low error rate of 0% as the false match rate and 0.3% as the false non-match rate, thus the COPaC II significant identification security level is sufficiently stable. With the aim of further enhancing the throughput and robustness, we conducted performance tests where the system is used as a computer log-in device and as a pre-screening device for crime investigation. In both experiments, a high rate of successful recognition, such as 90% recognition and 94% rejection rate for log-in, was obtained. Experiments on twins to check the disguise recognition, and on the effects of changes in brightness and arbitrary size of images to test its robustness are also included.

show abstract

Section: Principal Architecture Of a Facial Recognition Systemmentioning

confidence: 99%