Online Signature Recognition Based on Pseudo-Inked Signature Image Template

Young One Cho, Jin Woo Jung

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

As human-robot interaction is widely and increasingly used, automated user verification has become a necessary condition for system access. Signature recognition is one of the representative methods for user verification. In this paper, a novel method using Pseudo-Inked Signature for online signature recognition is proposed. Pseudo-Inked Signature consists of three types of information of pen pressure value, pen tilting angle, and pen theta angle during online signature writing. We propose a fusion method for three different types of information by mimicking the inked effect of real pen writing. Besides a style of penmanship, Pseudo-Inked Signature reflects the characteristics of handwriting behavior. Therefore, it can make different Pseudo-Inked Signature even though the original signature images from different users look very similar to each other. Similarly, it can also make more similar Pseudo-Inked Signatures even though the original signature images from the same user look somewhat different to each other. In addition, since only one gray-scale image is dealt with to represent the signature style of a person by Pseudo-Inked Signature image, it is efficient and very easy to handle. Finally, we tested user verification experiments using k-NN classifier. The experimental results show that Pseudo-Inked Signature is good enough for the real application.

Original languageEnglish
Article number1750016
JournalInternational Journal of Humanoid Robotics
Volume14
Issue number2
DOIs
StatePublished - 1 Jun 2017

Keywords

  • online signature recognition
  • personalized human-machine interaction
  • Pseudo-Inked Signature

Fingerprint

Dive into the research topics of 'Online Signature Recognition Based on Pseudo-Inked Signature Image Template'. Together they form a unique fingerprint.

Cite this