1 February 1994 Face recognition using the neural tree network
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Proceedings Volume 2093, Substance Identification Analytics; (1994) https://doi.org/10.1117/12.172539
Event: Substance Identification Technologies, 1993, Innsbruck, Austria
Abstract
A face recognition system has been developed and demonstrated at the Rutgers University Center for Computer Aids for Industrial Productivity. The system uses a preliminary data reduction step. gray scale projections, and a fast transform technique to greatly reduce the computational complexity of the problem and, consequently, the cost of high-speed implementation. The decision function is a few, extremely cost-effective neural network, the Mammone/Sankar Neural Tree Network. This network can be trained and re-trained rapidly on face image data and the system has built-in facilities for acquiring and editing a large data base of face images. Recognition rates higher than 90% were achieved on data sets containing up to 269 subjects. More importantly, it performed well on subjects with and without their glasses, under a wide range of changes in facial expressions, and under a variety of small tilts, translations and rotations.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Joseph Wilder, Joseph Wilder, S. Juth, S. Juth, Augustine Tsai, Augustine Tsai, X. Y. Zhang, X. Y. Zhang, } "Face recognition using the neural tree network", Proc. SPIE 2093, Substance Identification Analytics, (1 February 1994); doi: 10.1117/12.172539; https://doi.org/10.1117/12.172539
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