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Facial Recognition System

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    Biometric identification are methods that identify people by physical qualities,like fingerprints,voiceprints,facial features or even the makeup of their DNA.These technologies can serve a variety of different purposes,from securing information and computers to identifying suspects from evidence left at a crime scene….

    Face recognition technology is the least intrusive and fastest biometric technology. It works with the most obvious individual identifier- the human face.
    Instead of requiring people to place their hand on a reader or precisely position their eyes in front of a scanner, Face recognition systems silently take pictures of people’s faces as they enter a defined area. there is no intrusion or delay,and in most cases the subjects are entirely unaware of the process.They do not feel “under surveillance” or that their privacy has been invaded.

    Facial Recognition analyzes the characteristics of a person’s face images input through a digital video camera. It measures the overall facial structure , including distances between eyes, nose mouth and jaw edges. These measurements are retained in a database and used for comparisons when a user stands before the camera.This biometric has been widely and perhaps wildly,touted as a fantastic system for recognizing potential threats, (wether terrorist, scam artist or known criminal) but so far has been unproven in high-level usage. It is currently used only in verification systems with a good deal of success.

    Facial recognition is a form of computer vision that uses faces to identify a person or verify a person’s claimed identity.Regardless specific method used, the facial recognition is accomplished in a three step process. First the scanner starts reading the geometry of face, by plotting features on a grid, then points will be transferred to a database as an algorithm of numbers, a quick comparison will be made by a computer program, once a match is found an identify can be verified. In brief face recognition is considered as a challenging problem in the field of image analysis and computer vision that has received a great deal of attention over the last few years because of its many applications in various domains.

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    Facial Recognition System. (2016, Aug 19). Retrieved from

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