3D ultrasound palm vein recognition through the centroid method for biometric purposes

Santis, Michele De; Agnelli, S.; Nardiello, Donatella; Iula, Antonio

doi:10.1109/ultsym.2017.8092221

Cited by 16 publications

(10 citation statements)

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“…Additionally, more recent feature extraction techniques based on deep learning [50] or collaborative representation [51] are under investigation. Finally, the possibility of extracting other biometrics like vein pattern [22,23] and inner hand geometry [19] from the same acquired volume, implementing in this way a multimodal system, will be explored.…”

Section: Discussionmentioning

confidence: 99%

“…Several sensor technologies applications, including single piezoelectric elements, piezocomposite arrays, and more recently capacitive Micromachined Ultrasonic Transducers (cMUTs) and piezoelectric Micromachined Ultrasonic Transducers (pMUTs), as well as various techniques like pulse-echo, impediography, Doppler analysis, photoacoustics, and acoustic holography [18] have been tested to generate ultrasonic images for biometric recognition. Not only fingerprint, but also hand or finger geometry [19,20], vein pattern [21][22][23], and palmprint have been investigated.…”

Section: Introductionmentioning

confidence: 99%

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Experimental Validation of a Reliable Palmprint Recognition System Based on 2D Ultrasound Images

Iula

Micucci

2019

Electronics

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Ultrasound has been trialed in biometric recognition systems for many years, and at present different types of ultrasound fingerprint readers are being produced and integrated in portable devices. An important merit of the ultrasound is its ability to image the internal structure of the hand, which can guarantee improved recognition rates and resistance to spoofing attacks. In addition, ambient noise like changes of illumination, humidity, or temperature, as well as oil or ink stains on the skin do not affect the ultrasound image. In this work, a palmprint recognition system based on ultrasound images is proposed and experimentally validated. The system uses a gel pad to obtain acoustic coupling between the ultrasound probe and the user’s hand. The collected volumetric image is processed to extract 2D palmprints at various under-skin depths. Features are extracted from one of these 2D palmprints using a line-based procedure. Recognition performances of the proposed system were evaluated by performing both verification and identification experiments on a home-made database containing 281 samples collected from 32 different volunteers. An equal error rate of 0.38% and an identification rate of 100% were achieved. These results are very satisfactory, even if obtained with a relatively small database. A discussion on the causes of bad acquisitions is also presented, and a possible solution to further optimize the acquisition system is suggested.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experimental Validation of a Reliable Palmprint Recognition System Based on 2D Ultrasound Images

Iula

Micucci

2019

Electronics

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“…The possibility to achieve a multimodal system by extracting 3D vein patterns from the same acquired volume, avoiding an additional Doppler analysis, was shown as well [96]. 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].…”

Section: Biometric Systems Based On Pulse-echo Imagingmentioning

confidence: 99%

Ultrasound Systems for Biometric Recognition

Iula

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.

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“…In this research, the cost of the CMOS camera was around $20. Antonio used a commercial ultrasound imaging machine to capture the three-dimensional (3D) palm vein pattern [14]. Compared to other low-cost recognition devices [20,21], this commercial ultrasound imaging machine is too expensive to be practical for typical palm vein recognition applications.…”

Section: Palm Vein Image Recognition System Designmentioning

confidence: 99%

“…In the field of palm vein recognition, a number of research papers with different devices and technologies are highlighted [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. While the high cost of exiting palm vein capture devices [4][5][6][7][8][9][10][11][12][13][14] usually prevent this biometric come to the product. In this paper, the authors' goal is to propose a low-cost palm vein recognition so that palm vein biometrics are more popular.…”

Section: Introductionmentioning

confidence: 99%

Low‐cost biometric recognition system based on NIR palm vein image

Elliott

Lin

et al. 2019

IET biom.

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Palm vein recognition is motivated by the advantages of high security and liveness detection, but its popularity is prevented by the cost of palm vein capture devices. This study proposes a low-cost and practical palm vein recognition system. First, the authors' system captures near-infrared (NIR) palm vein image with complementary metal-oxide-semiconductor camera in lieu of an NIR charge-coupled device camera. The goal is to reduce the cost of palm vein capture devices greatly. Second, this study adopts thenar area on the palm as the region of interest (ROI) for further palm vein recognition. The goal is to get the rich vessel and avoid the effect of palmprint. Finally, the discriminate palm vein features are extracted based on Haarwavelet decomposition and partial least squares algorithm on the ROI image. The goal is to increase the recognition accuracy, though the resolution of the image is low. A database with 1500 palm vein images from 250 samples is setup with the capture device. Experiments in the self-built database and a public database show the effectiveness of the scheme.

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3D ultrasound palm vein recognition through the centroid method for biometric purposes

Cited by 16 publications

References 0 publications

Experimental Validation of a Reliable Palmprint Recognition System Based on 2D Ultrasound Images

Experimental Validation of a Reliable Palmprint Recognition System Based on 2D Ultrasound Images

Ultrasound Systems for Biometric Recognition

Low‐cost biometric recognition system based on NIR palm vein image

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