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Biometrics falls under the umbrella of what is referred to as AIDC. Automatic Identification and Data Capture is the term used to describe data collection by means other than manual notation or keyboard input.

The optimum significance of automatically captured data includes a more efficiently run organization; improved and more timely decision making; and efficient use of time, people, and materials. Discrete biometrics technologies include: fingerprint identification, iris identification, retinal identification, hand geometry, hand, palm, and wrist subcutaneous vein pattern identification, signature identification, voice identification, keystroke dynamics identification, facial feature identification, body salinity (salt) identification, body odor identification, and ear identification. Collectively, biometric technologies are defined as "Automated methods of verifying or recognizing the identity of a living person based on a physiological or behavioral characteristic".