R. Donida Labati, A. Genovese, V. Piuri, F. Scotti, Toward unconstrained fingerprint recognition: a fully-touchless 3-D system based on two views on the move, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 46, no. 2, pp. 202-219, February 2016, ISSN 2168-2216.
Biometric systems
Touchless 3D Fingerprint Recognition
Most of the fingerprint recognition systems use touch-based acquisition devices, which suffer from important intrinsic problems, such as non-linear deformations of the captured images, non-uniform contrast of the fingerprint regions, presence of latent fingerprints on the sensor surface, sensibility to dust and dirt, and low social acceptance. Touchless fingerprint recognition systems based on CCD cameras are studied in order to overcome these problems.
With respect to techniques based on single images, the studied methods based on three-dimensional models permit to compensate perspective distortions and to use the additional information related to the three-dimensional finger shape.
An important characteristic of the studied approaches is that they do not use finger placement guides, reducing the acquisition constraints with respect to most of the contactless fingerprint recognition systems in the literature. In order to require a minimum level of user cooperation, all the studied approaches are based on images captured in a single time instant.
The studied techniques regard different aspects of contactless biometric systems: acquisition, quality evaluation of biometric samples, 3D reconstruction, computation of contact-equivalent images, matching algorithms, and computation of synthetic samples.
With respect to techniques based on single images, the studied methods based on three-dimensional models permit to compensate perspective distortions and to use the additional information related to the three-dimensional finger shape.
An important characteristic of the studied approaches is that they do not use finger placement guides, reducing the acquisition constraints with respect to most of the contactless fingerprint recognition systems in the literature. In order to require a minimum level of user cooperation, all the studied approaches are based on images captured in a single time instant.
The studied techniques regard different aspects of contactless biometric systems: acquisition, quality evaluation of biometric samples, 3D reconstruction, computation of contact-equivalent images, matching algorithms, and computation of synthetic samples.
Relevant publications
R. Donida Labati, A. Genovese, V. Piuri, F. Scotti, Touchless fingerprint biometrics: a survey on 2D and 3D technologies, Journal of Internet Technology, vol. 15, no. 3, pp. 325-332, May 2014, ISSN 1607-9264.
R. Donida Labati, A. Genovese, V. Piuri, F. Scotti, Accurate 3D fingerprint virtual environment for biometric technology evaluations and experiment design, Proc. of the 2013 IEEE Int. Conf. on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2013), pp. 43-48, Milan, Italy, July 2013, ISSN 978-1-4673-4701-3.
R. Donida Labati, A. Genovese, V. Piuri, F. Scotti, Contactless fingerprint recognition: a neural approach for perspective and rotation effects reduction, Proc. of the IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM 2013), pp. 22-30, Singapore, April 2013, ISSN 978-1-4673-5879-8.
R. Donida Labati, A. Genovese, V. Piuri, F. Scotti, Two-view contactless fingerprint acquisition systems: a case study for clay artworks, Proc. of the 2012 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BioMS 2012), pp. 1-8, Salerno, Italy, September 2012, ISSN 978-1-4673-2722-0.
R. Donida Labati, A. Genovese, V. Piuri, F. Scotti, Virtual environment for 3-D synthetic fingerprints, Proc. of the 2012 IEEE Int. Conf. on Virtual Environments, Human-Computer Interfaces and Measurement Systems (VECIMS 2012), pp. 48-53, Tianjin, China, July 2012, ISSN 978-1-4577-1757-4.
R. Donida Labati, A. Genovese, V. Piuri, F. Scotti, Quality measurement of unwrapped three-dimensional fingerprints: a neural networks approach, Proc. of the 2012 IEEE-INNS Int. Joint Conf. on Neural Networks (IJCNN 2012), pp. 1123-1130, Brisbane, QLD, Australia, June 2012, ISSN 978-1-4673-1489-3.
A. Genovese, Three-dimensional processing of contactless fingerprints, M.Sc. Thesis, Università degli Studi di Milano, Italy, June 2010, in Italian: "Elaborazione tridimensionale di impronte digitali acquisite senza contatto".