Name
Title | ||
|---|---|---|
Toward Unconstrained Fingerprint Recognition: A Fully Touchless 3-D System Based on Two Views on the Move |
Abstract | ||
|---|---|---|
Touchless fingerprint recognition systems do not require contact of the finger with any acquisition surface and thus provide an increased level of hygiene, usability, and user acceptability of fingerprint-based biometric technologies. The most accurate touchless approaches compute 3-D models of the fingertip. However, a relevant drawback of these systems is that they usually require constrained and highly cooperative acquisition methods. We present a novel, fully touchless fingerprint recognition system based on the computation of 3-D models. It adopts an innovative and less-constrained acquisition setup compared with other previously reported 3-D systems, does not require contact with any surface or a finger placement guide, and simultaneously captures multiple images while the finger is moving. To compensate for possible differences in finger placement, we propose novel algorithms for computing 3-D models of the shape of a finger. Moreover, we present a new matching strategy based on the computation of multiple touch-compatible images. We evaluated different aspects of the biometric system: acceptability, usability, recognition performance, robustness to environmental conditions and finger misplacements, and compatibility and interoperability with touch-based technologies. The proposed system proved to be more acceptable and usable than touch-based techniques. Moreover, the system displayed satisfactory accuracy, achieving an equal error rate of 0.06% on a dataset of 2368 samples acquired in a single session and 0.22% on a dataset of 2368 samples acquired over the course of one year. The system was also robust to environmental conditions and to a wide range of finger rotations. The compatibility and interoperability with touch-based technologies was greater or comparable to those reported in public tests using commercial touchless devices. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TSMC.2015.2423252 | Systems, Man, and Cybernetics: Systems, IEEE Transactions |
Keywords | Field | DocType |
Solid modeling,Shape,Computational modeling,Biometrics (access control),Cameras,Biological system modeling,Accuracy | Computer vision,Interoperability,Computer science,Fingerprint recognition,Usability,Word error rate,Robustness (computer science),Fingerprint,Solid modeling,Artificial intelligence,Biometrics | Journal |
Volume | Issue | ISSN |
PP | 99 | 2168-2216 |
Citations | PageRank | References |
9 | 0.51 | 47 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Donida Labati, R. | 1 | 9 | 0.51 |
| Genovese, A. | 2 | 9 | 0.51 |
| Vincenzo Piuri | 3 | 859 | 100.65 |
| Scotti, F. | 4 | 9 | 0.51 |