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Article Released Wed-10th-October-2018 09:32 GMT
Contact: The Hong Kong Polytechnic University Institution: The Hong Kong Polytechnic University
 Contactless 3D fingerprint identification [Asia Research News 2018 feature]

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

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A new contactless system scans fingerprints in 3D, doubling the amount of information that can be used for identification.
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A new system for contactless, three-dimensional (3D) fingerprint identification has an advanced design that is not only an improvement over 2D scanners, it is also more compact and less costly than other 3D systems.

“We are pushing contactless biometric technology into a new realm of speed and accuracy at an affordable cost,” says Ajay Kumar of The Hong Kong Polytechnic University (PolyU). “This system could be used for many applications, including identification, crime investigation, immigration control, and security of access.”

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

Unlike other contactless 3D fingerprint systems that require multiple cameras and bulky lighting setups, this system uses a single, low-cost digital camera coupled with a few LED light sources controlled by a computer. This is coupled with the team’s proprietary algorithms that identify the 3D minutiae features and match prints with an accuracy of about 97%. 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 US patents for its new technologies and aims to commercialize the product.

Further information
Assistant Professor Ajay Kumar
Department of Computing
The Hong Kong Polytechnic University
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