Dr. Loris Nanni of Università di Bologna Dipartimento di Elettronica, Informatica e Sistemistica (DEIS), and colleagues, have published Combining Local, Regional and Global Matchers for a Template Protected On-line Signature Verification System, 37 Expert Systems with Applications: An International Journal 3676 (2010). Here is the abstract:
In this work an on-line signature authentication system based on an ensemble of local, regional, and global matchers is presented. Specifically, the following matching approaches are taken into account: the fusion of two local methods employing Dynamic Time Warping, a Hidden Markov Model based approach where each signature is described by means of its regional properties, and a Linear Programming Descriptor classifier trained by global features. Moreover, a template protection scheme employing the BioHashing and the BioConvolving approaches, two well known template protection techniques for biometric recognition, is discussed. The reported experimental results, evaluated on the public MCYT signature database, show that our best ensemble obtains an impressive Equal Error Rate of 3%, when only five genuine signatures are acquired for each user during enrollment. Moreover, when the proposed protected system is taken into account, the Equal Error Rate achieved in the worst case scenario, that is,when an ”impostor” is able to steal the hash keys, is equal to 4.51%, whereas an Equal Error Rate ~0 can be obtained when nobody steals the hash keys.
Tags: BioConvolving, BioHashing, Biometric authentication, Biometric identification, Digital signatures, Dynamic Time Warping, Expert Systems with Applications: An International Journal, Hidden Markov Model, Linear Programming Descriptor classifier, Loris Nanni, MCYT, Online signature verification, Online signatures