ZN-Face: A system for access control using automated face recognition (1995)
| Venue: | In Proceedings of the International Workshop on Automated Face- and Gesture-Recognition |
| Citations: | 12 - 2 self |
BibTeX
@INPROCEEDINGS{Konen95zn-face:a,
author = {Wolfgang Konen and Ekkehard Schulze-kruger},
title = {ZN-Face: A system for access control using automated face recognition},
booktitle = {In Proceedings of the International Workshop on Automated Face- and Gesture-Recognition},
year = {1995},
pages = {18--23}
}
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Abstract
We present a biometric access control device which is based on the identification of human faces. The system combines a console for semi-automated image acquisition with the necessary algorithms for face recognition. Facial features are stored in a relatively compact data format (1.6 kB). The system uses an extension of the Elastic Graph Matching Algorithm of [1] which has been ported here to a standard PC (Pentium 90 without any special accelerator hardware) where it performs image acquisition, face localization and identification in 3.5 seconds. The system not only allows robust identification of stored persons (despite changes in facial expression or size), but also reliable rejection of unknown persons. With an acceptance criterion which safely rejects all unknown persons we achieve an identification rate above 96% (FRR=4%) on a database of 87 persons. 1 Introduction Face recognition is a remarkable example for the ability of humans to perform with great reliability a complex vis...
