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They are able to look directly at the camera in proper lighting, to make things optimal for the software analysis. People who know they are using facial recognition, such as that employee trying to get into a restricted room, are relatively easy to work with. Images of their faces are trickier to analyze; a face picked out of a crowd shot may have to be digitally transformed and zoomed in before it can generate a faceprint. That leaves more room for the system to misidentify the person. That could mean identifying an innocent person as a suspect — or even failing to recognize that a known criminal just ran afoul of the law again. Only then can we have informed discussions about when and how to use computers to recognize that most human of features — our faces. Sometimes the image needs to be reoriented or resized. A person who has small eyes, thick eyebrows and a long narrow nose will have a very different faceprint from someone with large eyes, thin eyebrows and a wide nose. There are also fears of people using facial recognition to engage in online harassment or even real-world stalking. In a mall, for example, security cameras will feed into a computer with facial recognition software to identify faces in the video feed. But facial recognition may still be more error-prone than iris scanning and fingerprint scanning. A face very close to the camera may seem tilted or stretched slightly; someone farther back from the camera may appear smaller or even partially hidden from view. One of the chief worries is that, much like the rise of DNA databases , facial features and photos are being warehoused by government agencies , which will become able to track people and erase any notion of privacy or anonymity. Regardless of how accurate it appears to be on TV crime dramas, there is room for error, though the technology is improving.
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