Paper
16 September 2005 High-accuracy and robust face recognition system based on optical parallel correlator using a temporal image sequence
Eriko Watanabe, Mami Ishikawa, Maiko Ohta, Kashiko Kodate
Author Affiliations +
Abstract
Face recognition is used in a wide range of security systems, such as monitoring credit card use, searching for individuals with street cameras via Internet and maintaining immigration control. There are still many technical subjects under study. For instance, the number of images that can be stored is limited under the current system, and the rate of recognition must be improved to account for photo shots taken at different angles under various conditions. We implemented a fully automatic Fast Face Recognition Optical Correlator (FARCO) system by using a 1000 frame/s optical parallel correlator designed and assembled by us. Operational speed for the 1: N (i.e. matching a pair of images among N, where N refers to the number of images in the database) identification experiment (4000 face images) amounts to less than 1.5 seconds, including the pre/post processing. From trial 1: N identification experiments using FARCO, we acquired low error rates of 2.6% False Reject Rate and 1.3% False Accept Rate. By making the most of the high-speed data-processing capability of this system, much more robustness can be achieved for various recognition conditions when large-category data are registered for a single person. We propose a face recognition algorithm for the FARCO while employing a temporal image sequence of moving images. Applying this algorithm to a natural posture, a two times higher recognition rate scored compared with our conventional system. The system has high potential for future use in a variety of purposes such as search for criminal suspects by use of street and airport video cameras, registration of babies at hospitals or handling of an immeasurable number of images in a database.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eriko Watanabe, Mami Ishikawa, Maiko Ohta, and Kashiko Kodate "High-accuracy and robust face recognition system based on optical parallel correlator using a temporal image sequence", Proc. SPIE 5908, Optical Information Systems III, 590815 (16 September 2005); https://doi.org/10.1117/12.616551
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Cited by 1 scholarly publication.
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KEYWORDS
Facial recognition systems

Databases

Optical correlators

Image filtering

Image processing

Cameras

Detection and tracking algorithms

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