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      Exploiting Complexity in Pen- and Touch-based Signature Biometrics

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          Abstract

          Signatures have been traditionally acquired in pen-based office-like scenarios using devices specifically designed for signing. However, the high deployment of devices such as smartphones and tablets has given rise to new and thriving scenarios where signatures can be performed using not only a pen stylus but also the finger. Some preliminary studies have highlighted the challenge of this new scenario and the necessity of further research on the topic. The main contribution of this work is to propose a new signature verification architecture adapted to the signature complexity in order to tackle this new and challenging scenario. Additionally, an exhaustive comparative analysis of both pen- and touch-based scenarios using our proposed methodology is carried out along with a review of the most relevant and recent studies in the field. Significant improvements of biometric verification performance and practical insights are extracted for the application of signature verification in real scenarios.

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          Most cited references24

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          The importance of being random: statistical principles of iris recognition

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            Online Signature Verification on Mobile Devices

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              Exploring Recurrent Neural Networks for On-Line Handwritten Signature Biometrics

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                Author and article information

                Journal
                09 May 2019
                Article
                1905.03676
                139319e2-15cf-421e-ac61-5fc4ff616a5e

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                Custom metadata
                cs.HC

                Human-computer-interaction
                Human-computer-interaction

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