A Feasible 3D Ultrasound Palmprint Recognition System for Secure Access Control Applications
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 o...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9373433/ |
| _version_ | 1818448216796954624 |
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| author | Antonio Iula Monica Micucci |
| author_facet | Antonio Iula Monica Micucci |
| author_sort | Antonio Iula |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-14T20:16:00Z |
| format | Article |
| id | doaj.art-95eca2aac0944807a06cc49e1623e7d3 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T20:16:00Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-95eca2aac0944807a06cc49e1623e7d32022-12-21T22:48:50ZengIEEEIEEE Access2169-35362021-01-019397463975610.1109/ACCESS.2021.30646389373433A Feasible 3D Ultrasound Palmprint Recognition System for Secure Access Control ApplicationsAntonio Iula0https://orcid.org/0000-0002-1158-2558Monica Micucci1https://orcid.org/0000-0002-6778-7659School of Engineering, University of Basilicata, Potenza, ItalySchool of Engineering, University of Basilicata, Potenza, ItalyBiometric 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.https://ieeexplore.ieee.org/document/9373433/Biometricimage processingpalmprintultrasound imaging |
| spellingShingle | Antonio Iula Monica Micucci A Feasible 3D Ultrasound Palmprint Recognition System for Secure Access Control Applications IEEE Access Biometric image processing palmprint ultrasound imaging |
| title | A Feasible 3D Ultrasound Palmprint Recognition System for Secure Access Control Applications |
| title_full | A Feasible 3D Ultrasound Palmprint Recognition System for Secure Access Control Applications |
| title_fullStr | A Feasible 3D Ultrasound Palmprint Recognition System for Secure Access Control Applications |
| title_full_unstemmed | A Feasible 3D Ultrasound Palmprint Recognition System for Secure Access Control Applications |
| title_short | A Feasible 3D Ultrasound Palmprint Recognition System for Secure Access Control Applications |
| title_sort | feasible 3d ultrasound palmprint recognition system for secure access control applications |
| topic | Biometric image processing palmprint ultrasound imaging |
| url | https://ieeexplore.ieee.org/document/9373433/ |
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