At one of the busiest border crossings in the world today, multispectral imaging technology from Lumidigm is once again demonstrating its superior performance and the unique ability to work where other technologies simply fail.
The operational conditions and heavy duty cycles required by many civil ID and e-border applications demand a sensor that is robust, durable, and tamper resistant. The devices and software selected must be capable of successfully collecting a usable image under a very wide range of environmental and human conditions.
What continues to make multispectral imaging technology unique is its ability to create consistent, high-quality, highly usable images. Having the ability to do so is essential to supporting reliable and accurate user authentication or identification.
If data is missing or otherwise obscured by dry skin, wet surfaces or other less-than-ideal conditions, the system used to extract the unique features to perform statistical matching is at a disadvantage. Multispectral imaging technology routinely returns higher NIST image quality scores than other scanners under the same operating conditions. Where many conventional devices are unable to even produce a visible image, Lumidigm’s technology is capable of producing not just a viable image but a high-quality image.
The key to understanding this performance is in understanding skin physiology. The structure of the ridges and valleys that make up the actual fingerprint is built upon a substructure of blood vessels that correspond exactly to the information that can be extracted from the surface level of the skin.
Under ideal skin and environmental conditions, most conventional technologies can produce a usable image. However, conditions in the real world are rarely ideal. Dry or aged skin, rain, daily grime, and a broad range of other real-world factors can severely limit the amount of data that can be extracted from the surface image alone.
Because Lumidigm’s technology is not limited to the surface information but rather can see and extract information from beneath the skin, the data available for feature extraction and matching is of higher quality. The net result is better enrollment, better matching and better results.
