how face recognition system works
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24-02-2010, 09:15 AM

i am preparing seminar and presentation report on how facial recognition system works so please send some disadvantages and history of facial recognition system work
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24-02-2010, 04:58 PM

History of Face Recognition
The subject of face recognition is as old as computer vision. face recognition has always remains a major focus of research despite the fact that methods of identification like fingerprints, or iris scans can be more accurate is the non-invasive nature and because it is people's primary method of person identification. early example of a face recognition system is provided by Kohonen , who showed that a simple neural network could perform face recognition for aligned and normalized face images. In his system, the computation and recognition of a face description was done by approximating the eigenvectors of the face image's autocorrelation matrix. and these eigenvectors are now known as `eigenfaces.' schemes based on edges, inter-feature distances, and other neural net approaches was tried out by many researchers. Kirby and Sirovich introduced an algebraic manipulation in 1989 which made it easy to directly calculate the eigenfaces, and showed that fewer than 100 were required to accurately code carefully aligned and normalized face images. the residual error when coding using the eigenfaces was used both to detect faces in cluttered natural imagery by Turk and Pentland in 1991. They showed that by coupling this method for detecting and localizing faces with the eigenface recognition method, one could achieve reliable, real-time recognition of faces in a minimally constrained environment.

Face recognition systems canâ„¢t tell the difference between identical twins

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