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;