Projects

Touchless 3-D palmprint recognition

Palmprint recognition systems achieve sufficiently-accurate recognition ability and the acquisition is generally well accepted by the users, since it is not perceived as too intrusive or privacy-sensitive. Moreover, palmprints can be captured using low-cost devices and, unlike fingerprints, have enough redundancy for being used even in the case of partially damaged palm surface, like in elder people or manual workers. Unfortunately, traditional palmprint-based systems adopt touch-based acquisitions with pegs constraining the position of the hand to facilitate biometric trait collection, thus still limiting easy usability. This project has the objective of researching innovative methods for the contactless and less-constrained recognition of the palmprint. In particular, the researched methods allow to recognize the individuals without the contact of the hand with any surface, and without the need for the user to place his hand in a specific position. For this purpose, a metric three-dimensional representation is used. The originality of the researched techniques allow to perform an accurate biometric recognition, with a focus on the usability, computational speed, and social acceptance of the system. Moreover, the cost of the final device is also taken into consideration. The novelty of the described method, with respect to similar methods in the literature based on contactless three-dimensional acquisitions, resides in the use of an innovative setup, which has a lower cost and captures the images faster.

Project page: https://homes.di.unimi.it/genovese/3dpalm/

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