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Cellular phone face recognition system based on optical phase correlation
Author(s) -
Watanabe Eriko,
Ishikawa Sayuri,
Ohta Maiko,
Kodate Kashiko
Publication year - 2009
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.10154
Subject(s) - facial recognition system , computer science , phone , java , spoofing attack , interface (matter) , mobile phone , speech recognition , face (sociological concept) , domain (mathematical analysis) , artificial intelligence , pattern recognition (psychology) , operating system , computer network , mathematics , social science , philosophy , linguistics , mathematical analysis , bubble , maximum bubble pressure method , sociology
We propose a high‐security facial recognition system using a cellular phone on the mobile network. This system is composed of a face recognition engine based on optical phase correlation which uses phase information with emphasis on a Fourier domain, a control server, and the cellular phone with a compact camera for taking pictures, as a portable terminal. Compared with various correlation methods, our face recognition engine revealed the most accurate EER of less than 1%. By using the JAVA interface on this system, we implemented the stable system taking pictures, providing functions to prevent spoofing while transferring images. This recognition system was tested on 300 female students and the results proved this system effective. © 2009 Wiley Periodicals, Inc. Electron Comm Jpn, 92(12): 60–68, 2009; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/ecj.10154