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.
ABSTRUCTWe discuss the design of a compact parallel joint transform correator (PJTC) using four binary zone plate array (BZPA) as a Fourier transform lens. The external dimensions of the hybrid opt-electronic correlator is 23 cm x I 5cm x I 6.3 cm, which includes the PJTC system in the upper stage and some of driving circuits and an LD for a light source in the lower stage. Experimentally, we implemented this compact PJTC system for facial recognition with database of I 00 persons and obtained reliable discrimination results. Furthermore, we propose a novel method of pre-processing so that any general users could easily operate the compact PJTC system and constantly obtained the same size extracted images, by fixing three points; the edges of both eyes and the low end of nose, when normalizing the facial image size. We confirmed the ability of our system to meet the conditions for recognition by JTC.
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