A New Recognition Procedure for Palmprint Features Extraction from Ultrasound Images

Micucci

2021

IEEE Access

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Biometric recognition systems based on 3D palmprint captured with optical technology have been widely investigated in the last decade; however, they can provide information about the external skin surface only. This limit can be overcome by Ultrasound, which allows gaining information on the depth of palm lines and can verify the liveness of the sample, making the recognition systems very hard to fake. In this work, a feasible palmprint recognition system based on 3D ultrasound images is proposed. Unlike previous wet setups, the coupling between probe and human is realized through a gel pad, which permits a comfortable and precise positioning of the hand by the user. Collected 3D images are processed to generate 2D palmprint images at various under-skin depths. 2D features are then extracted from these images, experimenting with different procedures, and are merged to define a 3D template that contains lines' depth information. Recognition performances were evaluated by performing verification and identification experiments on a home-made database composed of 423 samples from 55 volunteers. An EER rate of 0.36% and an identification accuracy of 100% are obtained. The suitability of the proposed system in secure access control applications is finally discussed.

Section: Introductionmentioning

confidence: 99%

A Feasible 3D Ultrasound Palmprint Recognition System for Secure Access Control Applications

Micucci

2021

IEEE Access

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“…Finally, to overcome a significant drawback of the proposed system that may limit its acceptability, i.e., the user has to get his hand wet, the possibility to extract vascular patterns from volumes collected with an acquisition system that uses gel as a coupling medium is under investigation, as has been successfully done for palmprints [50][51][52]. This system allows a comfortable positioning of the hand and, as the hand is in contact with gel, it is acceptable to users in a post-pandemic world.…”

Section: Discussionmentioning

confidence: 99%

3D Vascular Pattern Extraction from Grayscale Volumetric Ultrasound Images for Biometric Recognition Purposes

Vizzuso

2022

Applied Sciences

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Recognition systems based on palm veins are gaining increasing attention as they are highly distinctive and very hard to counterfeit. Most popular systems are based on infrared radiation; they have the merit to be contactless but can provide only 2D patterns. Conversely, 3D patterns can be achieved with Doppler or photoacoustic methods, but these approaches require too long of an acquisition time. In this work, a method for extracting 3D vascular patterns from conventional grayscale volumetric images of the human hand, which can be collected in a short time, is proposed for the first time. It is based on the detection of low-brightness areas in B-mode images. Centroids of these areas in successive B-mode images are then linked through a minimum distance criterion. Preliminary verification and identification results, carried out on a database previously established for extracting 3D palmprint features, demonstrated good recognition performances: EER = 2%, ROC AUC = 99.92%, and an identification rate of 100%. As further merit, 3D vein pattern features can be fused to 3D palmprint features to implement a costless multimodal recognition system.

“…The improved system was exploited also to acquire a wider region by performing multiple scans up to include the whole hand [97,98], and to acquire the 3D palmprint by using a mechanically tilted linear probe [99]. A more reliable system that exploits gel as a coupling medium was successively set up and experimentally evaluated with a homemade database and dedicated recognition procedures [100,101].…”

Section: Biometric Systems Based On Pulse-echo Imagingmentioning

confidence: 99%

Ultrasound Systems for Biometric Recognition

2019

Sensors

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Biometric recognition systems are finding applications in more and more civilian fields because they proved to be reliable and accurate. Among the other technologies, ultrasound has the main merit of acquiring 3D images, which allows it to provide more distinctive features and gives it a high resistance to spoof attacks. This work reviews main research activities devoted to the study and development of ultrasound sensors and systems for biometric recognition purposes. Several transducer technologies and different ultrasound techniques have been experimented on for imaging biometric characteristics like fingerprints, hand vein pattern, palmprint, and hand geometry. In the paper, basic concepts on ultrasound imaging techniques and technologies are briefly recalled and, subsequently, research studies are classified according to the kind of technique used for collecting the ultrasound image. Overall, the overview demonstrates that ultrasound may compete with other technologies in the expanding market of biometrics, as the different commercial fingerprint sensors integrated in portable electronic devices like smartphones or tablets demonstrate.