Face Recognition for Security Systems
The automatic face recognition has been a difficult problem in the field of computer vision for many years. Robust face recognition requires the ability to recognize the identity despite many variations in the appearance of the face can be a scene.
One of the main advantages of using biometric products, therefore, is that you can identify and gain access to secure systems without having to carry a key or remember a password or PIN number.
Due to recent advances in communication technologies and visual facial recognition,
automatic face recognition has attracted a lot of interest in research. Being a different problem, development of facial recognition research has understood the contribution of researchers from various fields of science.
We propose that precedes a function recognition able to find pictures of human faces and efficiently pre-processed previously for best results based image manipulation algorithm.
The facial contour is estimated by calculating symmetrical housing and used to guide the search for characteristic points in the face. The location of face characteristics as eyes,
mouth and nose of each individual becomes. The resulting description is compared with a database using simple distance measures to determine the identity of the face as one of the previously identified training examples.
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