Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/55127
Title: A perspective analysis of handwritten signature technology
Authors: Diaz, Moises 
Ferrer, Miguel A. 
Impedovo, Donato
Malik, Muhammad Imran
Pirlo, Giuseppe
Plamondon, Réjean
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Writer Dependent Features
Support Vector Machines
Stroke Risk-Factors
Dynamic Signature
Symbolic Representation, et al
Issue Date: 2019
Journal: ACM Computing Surveys 
Abstract: Handwritten signatures are biometric traits at the center of debate in the scientific community. Over the last 40 years, the interest in signature studies has grown steadily, having as its main reference the application of automatic signature verification, as previously published reviews in 1989, 2000, and 2008 bear witness. Ever since, and over the last 10 years, the application of handwritten signature technology has strongly evolved and much research has focused on the possibility of applying systems based on handwritten signature analysis and processing to a multitude of new fields. After several years of haphazard growth of this research area, it is time to assess its current developments for their applicability in order to draw a structured way forward. This perspective reports a systematic review of the last 10 years of the literature on handwritten signatures with respect to the new scenario, focusing on the most promising domains of research and trying to elicit possible future research directions in this subject.
URI: http://hdl.handle.net/10553/55127
ISSN: 0360-0300
DOI: 10.1145/3274658
Source: ACM Computing Surveys [ISSN 0360-0300], v. 51 (6), 117
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