Abstract
Humans detect and identify faces in a scene with little or no effort. However, building an automated system that accomplishes this task has proven to be very difficult. A robust automated system for face recognition would find many applications, such as criminal identification, and authentication in secure systems. This paper describes a system based on artificial neural nets that is capable of detecting a face from an arbitrary image in a robust manner. The system correctly classified 91% of the face images and 88% of the non-face images.
Original language | English (US) |
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Title of host publication | Intelligent Engineering Systems Through Artificial Neural Networks |
Editors | C.H. Dagli, L.I. Burke, Y.C. Shin |
Place of Publication | Fairfield, NJ, United States |
Publisher | ASME |
Pages | 535-540 |
Number of pages | 6 |
Volume | 2 |
State | Published - 1992 |
Event | Proceedings of the 1992 Artificial Neural Networks in Engineering, ANNIE'92 - St.Louis, MO, USA Duration: Nov 15 1992 → Nov 18 1992 |
Other
Other | Proceedings of the 1992 Artificial Neural Networks in Engineering, ANNIE'92 |
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City | St.Louis, MO, USA |
Period | 11/15/92 → 11/18/92 |
ASJC Scopus subject areas
- Software