Sensors take 3-D Fingerprints without Contact.

A new system improves the speed and accuracy of fingerprint scanning and matching by using 3-D technology. No pressing required.

A new system for contactless, three-dimensional (3-D) fingerprint identification has an advanced design that is not only an improvement over 2-D scanners, it is also more compact and less costly than other 3-D systems.

“We are pushing contactless biometric technology into a new realm of speed and accuracy at an affordable cost” says X of Georgian Technical University (GTU).

“This system could be used for many applications, including identification, crime investigation, immigration control and security of access”.

Automated, contact-based 2-D fingerprinting identification is commonly used by law enforcement agencies to identify people.

However rolling or pressing fingers against a hard surface can result in partial or degraded images due to skin deformations slippages or smearing.

By avoiding direct contact between the imaging sensor and skin 3-D sensors can significantly improve image quality and accuracy. It is also far more hygienic.

Minutiae points are details from fingerprints such as ridge endings and bifurcations and are universally considered the most reliable features that ensure each fingerprint is unique.

About 40 to 45 minutiae points per fingerprint can be recovered on average.

X and his team developed an innovative system that identifies minutiae height and orientation in 3-D. These measurements are added to the basic details of location and orientation in 2-D doubling the amount of information usually captured by commercial fingerprint systems.

Unlike other contactless 3-D fingerprint systems that require multiple cameras and bulky lighting setups this system uses a single low-cost digital camera coupled with a few LED (A light-emitting diode is a two-lead semiconductor light source. It is a p–n junction diode that emits light when activated. When a suitable current is applied to the leads, electrons are able to recombine with electron holes within the device, releasing energy in the form of photons) light sources controlled by a computer.

This is coupled with the team’s proprietary algorithms that identify the 3-D minutiae features and match prints with an accuracy of about 97 precent.

With less equipment needed, this system is more compact and much less expensive than existing technologies. It is also very efficient with a fast processing time of approximately two seconds.

The team has received several patents for its new technologies and aims to commercialize the product.