DocumentCode :
3494838
Title :
Robust real-time face recognition
fYear :
2013
fDate :
9-12 Sept. 2013
Firstpage :
1
Lastpage :
5
Abstract :
This paper describes and discusses the algorithms required to perform face detection and face recognition in real-time. Simple features, similar to Haar basis functions, are used for detection and the eigenfaces technique is used for recognition. Further to the above, a novel method of increasing face recognition rates is presented for situations where a database containing multiple images of the same subject is being used. It is shown that these well-known, existing techniques for both detection and recognition can be combined in a manner that runs in real-time, but still preserves the original success rates mentioned in literature.
Keywords :
face recognition; feature extraction; object detection; Haar basis functions; eigenfaces technique; face detection; face recognition rates; robust realtime face recognition; Databases; Face; Face detection; Face recognition; Image recognition; Testing; Training; PCA; detection; eigen-faces; real-time; recognition; robust; selection algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
AFRICON, 2013
Conference_Location :
Pointe-Aux-Piments
ISSN :
2153-0025
Print_ISBN :
978-1-4673-5940-5
Type :
conf
DOI :
10.1109/AFRCON.2013.6757719
Filename :
6757719
Link To Document :
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