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Fingerprint Technology: Popular biosmart systems in use today include iris recognition, voice recognition, and fingerprint recognition systems. Iris recognition is extremely accurate but expensive to implement, and scanning the human eye is a sensitive issue that many find alarming. A typical voice recognition system is much less expensive but often exhibits unacceptably high FRR stemming from illness, hoarseness, or other throat problems. Fingerprint recognition is generally considered the most practical choice for its reliability, non-intrusive interfaces, and cost-effectiveness. The uniqueness of a fingerprint can be determined by this pattern of ridges and furrows. The fingerprint scanner captures an image of the fingerprint and uses complex fingerprint identification algorithms to either convert the image into a unique "map" of minutiae points or analyze the pattern. Minutiae points are local ridge characteristics that occur at either a ridge bifurcation (split) or a ridge ending. This technique reads specific fingerprint 'ridge' characteristics and assigns an x/y coordinate. Only the data containing the location of the points of minutiae is stored in the template, not the actual fingerprint image. This eliminates privacy concerns and helps prevent fraud as a fingerprint cannot be recreated from the stored template. |
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