&lt;title&gt;Optoelectronic face recognition system using diffractive optical elements: design and evaluation of compact parallel joint transform correlator (COPaC)&lt;/title&gt;

Kodate, Kashiko; Watanabe, Eiji; Inaba, Rieko

doi:10.1117/12.450455

Cited by 2 publications

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“…The first two terms are the auto-correlations of the unknown and reference images, respectively. The last two terms contain [24,27] Our hybrid facial recognition system consists of three basic parts, as shown in figure 2: (i) a face input device such as a digital camera or an image scanner, (ii) a PC for pre-and post-processing and (iii) an optical PJTC system. The facial image from the input device is transferred to the PC, where relatively simple pre-processing stages such as normalization, segmentation, edge-enhancing and binarization functions are performed (figure 3).…”

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.

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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.

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Section: Principal Architecture Of a Facial Recognition Systemmentioning

confidence: 99%