Published November 11, 2020
Biometric authentication, which uses unique anatomical features such as fingerprints or facial features to verify a person’s identity, is increasingly replacing traditional passwords for accessing everything from smartphones to law enforcement systems.
A new approach, led by UB researchers and described in the journal Applied Optics, uses 3D images of finger veins that could greatly increase the security of this type of authentication.
“The 3D finger vein biometric-authentication method we developed enables levels of specificity and anti-spoofing that were not possible before,” says study leader Jun Xia, associate professor in the Department of Biomedical Engineering. “Since no two people have exactly the same 3D vein pattern, faking a vein biometric authentication would require creating an exact 3D replica of a person’s finger veins, which is basically not possible.”
The Department of Biomedical Engineering is a joint program of UB’s School of Engineering and Applied Sciences and the Jacobs School of Medicine and Biomedical Sciences.
The approach represents the first time that photoacoustic tomography has been used for 3D finger vein biometric authentication. Tests of the method on people showed that it can correctly accept or reject an identity 99% of the time.
“Due to the COVID-19 pandemic, many jobs and services are now performed remotely,” says research team member Giovanni Milione of NEC Laboratories America Inc. “Because our technique detects invisible features in 3D, it could be used to enable better authentication techniques to protect personnel data and sensitive documents.”
Although other biometric-authentication approaches based on finger veins have been developed, they are all based on 2D images. The additional depth from a 3D image increases security by making it more difficult to fake an identity and less likely that the technique will accept the wrong person or reject the right one.
To accomplish 3D biometric authentication using the veins in a person’s fingers, the researchers turned to photoacoustic tomography, an imaging technique that combines light and sound. First, light from a laser is used to illuminate the finger. If the light hits a vein, it creates a sound much in the same way that a grill creates a “poof” sound when it is first lit. The system then detects that sound with an ultrasound detector and uses it to reconstruct a 3D image of the veins.
“It has been challenging to use photoacoustic tomography for 3D finger vein biometric authentication because of the bulky imaging system, small field of view and inconvenient positioning of the hand,” says Xia. “We addressed these issues in the new system design through a better combination of light and acoustic beams, and custom-made transducers to improve the imaging field of view.”
To better integrate light illumination and acoustic detection, the research team fabricated a new light- and acoustic-beam combiner. Team members also designed an imaging window that allows the hand to be naturally placed on the platform, similar to a full-size fingerprint scanner.
Another critical development was a new matching algorithm — developed by co-author Wenyao Xu, associate professor in the Department of Computer Science and Engineering — that allows biometric identification and matching of features in 3D space.
The researchers tested their new system with 36 people by imaging their four left and four right fingers. The tests showed the approach was not only feasible but also accurate, especially when multiple fingers were used.
“We envision this technique being used in critical facilities, such as banks and military bases, that require a high level of security,” Milione says. “With further miniaturization, 3D vein authentication could also be used in personal electronics or be combined with 2D fingerprints for two-factor authentication.”
The researchers are now working to make the system even smaller and to reduce the imaging time to less than one second. They note it should be possible to implement the photoacoustic system in smartphones since ultrasound systems have already been developed for use in smartphones. This could enable portable or wearable systems that perform biometric authentication in real time.
In addition to Xia, Xu and Milione, the research team included Aditya Singh Rathore, Yuehang Wang, Ye Zhan and Wenhan Zheng, all from UB.