Literature DB >> 25420668

Dynamic characteristics of signatures: effects of writer style on genuine and simulated signatures.

Linton Mohammed1, Bryan Found, Michael Caligiuri, Doug Rogers.   

Abstract

The aims of this study were to determine if computer-measured dynamic features (duration, size, velocity, jerk, and pen pressure) differ between genuine and simulated signatures. Sixty subjects (3 equal groups of 3 signature styles) each provided 10 naturally written (genuine) signatures. Each of these subjects then provided 15 simulations of each of three model signatures. The genuine (N = 600) and simulated (N = 2700) signatures were collected using a digitizing tablet. MovAlyzeR(®) software was used to estimate kinematic parameters for each pen stroke. Stroke duration, velocity, and pen pressure were found to discriminate between genuine and simulated signatures regardless of the simulator's own style of signature or the style of signature being simulated. However, there was a significant interaction between style and condition for size and jerk (a measure of smoothness). The results of this study, based on quantitative analysis and dynamic handwriting features, indicate that the style of the simulator's own signature and the style of signature being simulated can impact the characteristics of handwriting movements for simulations. Writer style characteristics might therefore need to be taken into consideration as potentially significant when evaluating signature features with a view to forming opinions regarding authenticity.
© 2014 American Academy of Forensic Sciences.

Entities:  

Keywords:  dynamics; forensic science; forgery; questioned documents; signature examination; signature style; simulation

Mesh:

Year:  2014        PMID: 25420668     DOI: 10.1111/1556-4029.12605

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  2 in total

1.  Self-identification of electronically scanned signatures (ESS) and digitally constructed signatures (DCS).

Authors:  Zuzanna Kazmierczyk; Ian J Turner
Journal:  Forensic Sci Res       Date:  2021-07-05

Review 2.  Handwriting Analysis in Parkinson's Disease: Current Status and Future Directions.

Authors:  Mathew Thomas; Abhishek Lenka; Pramod Kumar Pal
Journal:  Mov Disord Clin Pract       Date:  2017-11-01
  2 in total

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