Biometrics systems work by recording and comparing biometric characteristics. In many cases, characteristics are recorded as images, but for speaker recognition a waveform is recorded, and for signature recognition, time series data. For efficiency reasons, rather than using recorded characteristics directly, it is usual to extract identifying features from the samples and encode these features in a form that facilitates storage and comparison.
In order to deliver the promise of increased convenience, biometrics must be reliable and universal - meaning that a single touch is all it takes to authenticate every individual using the system. Unfortunately, conventional biometric technologies fall short of this goal, delivering single-touch true acceptance rates that may be no better than flipping a coin. Multispectral imaging is the breakthrough that enables Mindlan to deliver single-touch true acceptance rates well in excess of 99%.
Conventional sensors perform a contact-based measurement: areas in contact are presumed to be fingerprint ridges and areas not in contact are fingerprint valleys. This technique is identical to ink and paper which has been used since the time fingerprint identification techniques were discovered more than a century ago. Under ideal conditions, conventional sensors may work well. Unfortunately, the performance of conventional sensors is severely degraded by non-ideal skin condition, poorly defined or damaged fingerprints, and environmental conditions such as dirt or moisture.
Which Security Biometric Works Best?
Next is which method of security biometric works best. No one method can be said to do the best job of data gathering and each one has some very good points to recommend them with some being less invasive, some being very hard to fake and some can be accomplished without your knowledge of it. So following are some of the biometric identification methods that you can use and it really comes down to what works best for your needs.