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25 October 1994 Verification of personal identity using facial images
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Abstract
A facial-imaging system to verify a person's supplied identity as part of a secure access control system is outlined. Classical image processing techniques transform the live-scan image to a standard position, scale, and lighting level. Two neural network classifiers, trained in a previous enrollment session, make the access decision. One neural net classifies the grayscale image directly. The other network uses as features the live-scan image's projection onto a general face-space similar to the approach of Turk and Pentland. This paper develops a method to generate additional dimensions, peculiar to the enrolled user, to augment the general face-space. This enhanced face-space enables the network to verify a specific person. A system with 16 enrolled users was attacked by 40 imposters with a false acceptance rate of 0.2%.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rodney G. Winter "Verification of personal identity using facial images", Proc. SPIE 2277, Automatic Systems for the Identification and Inspection of Humans, (25 October 1994); https://doi.org/10.1117/12.191868
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