Title | Palmprint recognition based on ultrasound imaging |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Authors | Iula, Antonio, Micucci, Monica |
Conference Name | 2019 42nd International Conference on Telecommunications and Signal Processing (TSP) |
Keywords | 2D palmprint images, 3D image acquisition, 3D imaging, acoustic coupling, Acoustic Fingerprints, Acoustics, Biometric Recognition, biometric recognition systems, composability, feature extraction, fingerprint identification, Human Behavior, image processing, image recognition, image sensors, palmprint recognition, pubcrawl, Recognition accuracy, recognition procedure, Resiliency, Three-dimensional displays, Two dimensional displays, ultrasonic fingerprint sensors, ultrasonic imaging, ultrasound images, ultrasound imaging, ultrasound system |
Abstract | Biometric recognition systems based on ultrasound images have been investigated for several decades, and nowadays ultrasonic fingerprint sensors are fully integrated in portable devices. Main advantage of the Ultrasound over other technologies are the possibility to collect 3D images, allowing to gain information on under-skin features, which improve recognition accuracy and resistance to spoofing. Also, ultrasound images are not sensible to several skin contaminations, humidity and not uniform ambient illumination. An ultrasound system, able to acquire 3D images of the human palm has been recently proposed. In this work, a recognition procedure based on 2D palmprint images collected with this system is proposed and evaluated through verification experiments carried out on a home made database composed of 141 samples collected from 24 users. Perspective of the proposed method by upgrading the recognition procedure to provide a 3D template able to accounts for palm lines' depth are finally highlighted and discussed. |
DOI | 10.1109/TSP.2019.8769115 |
Citation Key | iula_palmprint_2019 |