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- W2185463472 abstract "Based on the results of cognitive psychologists and recent advances in image processing, the problem of automatic face recognition with the computer is investigated. A multi- resolution representation of the scene is scanned with a matched- filter based on local orientation, for the reliable localization of human faces. For the identication of the faces two comp!ement- ing strategies are employed: At low resolution the three most important features of a face (head, eye pairs, nose/mouth/chm) are compared with the contents of a data base. At high resolu- tion the precise location of several landmark features is deter- mined, and this geometrical description is used for comparisons in a 62-dimensional vector space. These algorithms were used in an experimental access con- trol system - the digital doorkeeper - to investigate the overall performance under realistic conditions. The tests were carried out with a data base of 397 faces belonging to 70 Merent per- sons. Without screening these persons for spectacles, beards, changing hairstyle, etc. a recognition rate of 90% among known persons was achieved. At a recognition rate of 60% for known persons, less than 3% of unknown persons were wrongly admit- ted. These results belong to the best reported for computer- based face recognition so far." @default.
- W2185463472 created "2016-06-24" @default.
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- W2185463472 date "1991-01-01" @default.
- W2185463472 modified "2023-09-26" @default.
- W2185463472 title "The digital doorkeeper - Automatic face recognition with the computer" @default.
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