Methode's biometric verification technology is a robust identity management tool that works with every user, every time. It provides completely accurate identification with a reliability not seen in competing technologies. The system is based on proven multi-spectral imaging technology developed by Lumidigm Inc., Methode's biometric technology partner. With this technology, customers can expect complete accuracy, even in the presence of rain, snow, mud, or dirt.
Multi-spectral imaging allows Methode's biometric sensors to collect and process biometric images in a manner that is more robust, more inclusive and more reliable than other fingerprint and vein sensors. We can achieve this because multi-spectral imaging enables the measurement of human skin structural characteristics that are at and beneath the surface.
Conventional fingerprint sensors rely on inferior technologies that are only able to scan the surface of the skin. Many conditions can occur that prevent or interfere with the contact of the skin and the imaging surface. Multi-spectral imaging looks past the surface into the internal structure of the finger to reveal the unique characteristics.
Rather than rely on total internal reflectance, multi-spectral imaging applies illumination from multiple angles of incidence and across a broad spectrum to reveal details not apparent from a conventional approach. These multiple images are reconstructed to form a composite image that contains all of the data, and furthermore removes artifacts caused by surface contaminants
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Wet EnvironmentsConventional biometric sensors fail to acquire images in wet and high humidity environments because fluids either fill the valleys of the fingerprint or cause corruption of the acquisition due to physical measurement effects such as capacitance. |
Common SpecificationsMulti-spectral imaging works in wet and high humidity environments because it can see through the moisture and does not rely on firm or consistent contact pressure on the sensor. |
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Dry EnvironmentsConventional biometric sensors fail to acquire images in dry and low humidity environments because consistent contact with the sensor platen is not achieved. No contact means no image. |
Common SpecificationsMulti-spectral imaging works in dry and low humidity environments because it does not rely on firm or consistent contact pressure on the sensor. |
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Dirty EnvironmentsConventional biometric sensors fail to acquire images in dirty environments because contamination can both fill the valleys of the fingerprint and cross ridges of the finger, generating image artifacts and loss of detail. |
Common SpecificationsMulti-spectral imaging works in dirty environments because multiple illumination angles allow light to penetrate and reflect from the skin structure behind any contamination, allowing artifacts to be removed from the image and restoring lost detail. |
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Elderly UserConventional biometric sensors fail to acquire good images on users that have soft collagen or other aging effects on their fingers because ridges and valleys become more compressed, thereby presenting a poorly defined structure and surface. |
Common SpecificationsMulti-spectral imaging is able to identify elderly users with soft ridges, and users who may have finger surface erosion because it is able to rely on the finger substructure that remains intact to generate a high quality image. |
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Bright LightConventional biometric sensors fail to acquire images in bright light because of washout of the image caused by light bleeding under the finger. |
Common SpecificationsMulti-spectral imaging works in bright light because the light must travel through the finger, a much harder task, rather than around it to affect the image. |