The Variability Measurement of Shape Independent Features to Establish a New Method to Differentiate Genuine Signatures from Simulated Ones
University of Ontario Institute of Technology, Canada
- *Corresponding Author:
- Fausto Brugnatelli
Member of NADE (National Association of Document Examiners)
100% accuracy and best document examiner at the 2009 ST2AR Test
Via Giotto 24, 20145 Milano, Italy
E-mail: [email protected]
Received date: July 26, 2013; Accepted date: November 19, 2013; Published date: November 22, 2013
Citation: Brugnatelli F (2013) The Variability Measurement of Shape Independent Features to Establish a New Method to Differentiate Genuine Signatures from Simulated Ones. J Forensic Res 4:206. doi: 10.4172/2157-7145.1000206
Copyright: © 2013 Brugnatelli F. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
A preliminary step to the examination of signatures is the objective assessment of the variability range that is peculiar to the writer; in document examination it is quite rare to come across standardized procedures allowing an effective discrimination between genuine and simulated signatures. This study took into consideration 104 questioned signatures (coming from 20 real and Judge-ruled cases) that were inspected to evaluate non-shape-related indicators in their ability to assess correctly genuineness or simulation; the research particularly focused on the evaluation of letter heights - with special reference to the positions of the individual letters within the signature - and on the subsequent height ratios between extenders (upper and lower) and the other small letters. The combination of the information gained from the statistical survey, assisted by calculation of confidence intervals, of these height indicators with the observation within the signature of the spots where between-letter pen lifts occur led to an effective discriminating method for medium/long signatures. Data processing also yielded useful indications on the letters that most frequently trigger off height errors in forgery and provided other interesting results, such as the positions within the signature where simulators most frequently fail.