In this paper, we present a method of analyzing handwriting samples (distinguishing between authentic samples and forgeries) and address the question of whether or not the handwriting of different individuals contains a mathematical signature. The method discussed is a modified version of a similar approach towards art presented in ``A Digital Technique for Art Authentication'' by Lyu et al. We give a short history of art and handwriting forgery and characteristics examined in order to determine authenticity. We also examine the rationale behind the Lyu et al.'s method and the changes that we have made in our application to handwriting analysis.
Lytle, Beverly and Yang, Caroline
"Detecting Forged Handwriting with Wavelets and Statistics,"
Rose-Hulman Undergraduate Mathematics Journal: Vol. 7:
1, Article 8.
Available at: https://scholar.rose-hulman.edu/rhumj/vol7/iss1/8