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When live-scan fingerprint sensors first emerged in the 1990s, they used surface-sensing methods to read the fingerprint pattern off the surface of the finger skin. These early devices used optical imaging methods to take a picture of the finger skin. Subsequently a variety of sensing mechanisms were employed to detect the patterns on the surface of the finger and convert those patterns into electrical signals. These included infrared gauging, mechanical force measurement, temperature measurements, and electrical capacitance measurements.
Although some of these mechanisms were able to acquire fingerprint images from young, healthy adults in controlled indoor settings, they were unable to capture useful fingerprint images from other segments of the population, under real-world operating conditions. They often could not capture usable images from people with skin that was dry, thickly callused, or worn smooth by mechanical or chemical means. The failure of these devices to work properly for significant percentages of the user population hindered the widespread adoption of biometric identification.
In 1998, AuthenTec developed a unique semiconductor-based fingerprint reader that uses small RF signals to detect the fingerprint ridge and valley pattern. The RF electronic imaging mechanism called (TruePrint technology) works by reading the fingerprint pattern from the live, highly-conductive layer of skin that lies just beneath the skin's dry outer surface layer. AuthenTec's TruePrint-based sensors are less affected by common skin surface conditions -- including dry, worn, calloused, dirty or oily skin -- that can impair the ability of other sensors to acquire accurate fingerprint images. That makes TruePrint sensor technology capable of acquiring everyone's fingerprint under virtually any condition. |
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The TruePrint Technology Advantage:
• AuthenTec's TruePrint technology offers many benefits including the most accurate and reliable imaging for security and convenience, what in turn produces detailed and highly repeatable images under real world conditions. |
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