BIOMETRIC SECURITY SYSTEMS

Biometric security (identification) systems identify a human from a measurement of a physical characteristic or behavioral trait (for example, hand geometry, retinal scan, iris scan, fingerprint patterns, facial characteristics, DNA sequence characteristics, voice prints, and hand written signature) to determine or verify an identity. There is typically an enrollment process in which the biological information is taken and stored in a database for future identification or verification purposes. Because biometric security technology relies on biological information about a person, it is typically thought of as more reliable than other identification methods

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There are several different types of biometric security Technologies:

 Facial Recognition technology identifies individuals by analyzing certain facial characteristics such as the distance between the eyes, the length of the nose, and the angle of the jaw. Facial recognition works for both verification and identification and is often used for surveillance purposes.

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 Fingerprint Recognition is the most widely used method of biometric authentication. Fingerprint recognition is based on features found in the impressions made by unique ridges and valleys on the surface of a human's fingertips. Hand Geometry is based on the measurement and analysis of the shape of a person's hand. Unlike fingerprints, the human hand is not descriptive enough for identification. However, it can be used for verification by combining various individual features, such as width, height, and length of
the fingers, or distance between joints.
 Iris Recognition is the process of recognizing a person by analyzing the distinctly colored ring that surrounds the pupil of the eye. With more than 250 unique characteristics, the iris is believed to go unchanged throughout a person's lifespan. This technology is typically used for access control into a facility.
 Voice Recognition technology is a biometric security technology used to uniquely identify individuals based on the different characteristics in their voice such as tone, pitch, cadence, etc. The system captures samples of the individual's speech and then converts them to an electronic format to create a biometric template.