Automatic allograph matching in forensic writer identification (2007)

Title Automatic allograph matching in forensic writer identification
Published in International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), Vol. 21, p.61-82. ISSN 0218-0014.
Author Niels, R.M.J.; Vuurpijl, L.G.; Schomaker, L.R.B.
Date 2007
Type Article
Abstract A well-established task in forensic writer identification focuses on the comparison of prototypical character shapes (allographs) present in handwriting. In order for a computer to perform this task convincingly, it should yield results that are plausible and understandable to the human expert. Trajectory matching is a well-known method to compare two allographs. This paper assesses a promising technique for so-called human-congruous trajectory matching, called Dynamic Time Warping (DTW). In the first part of the paper, an experiment is described that shows that DTW yields results that correspond to the expectations of human users. Since DTW requires the dynamics of the handwritten trace, the "online" dynamic allograph trajectories need to be extracted from the "offline" scanned documents. In the second part of the paper, an automatic procedure to perform this task is described. Images were generated from a large online dataset that provides the true trajectories. This allows for a quantitative assessment of the trajectory extraction techniques rather than a qualitative discussion of a small number of examples. Our results show that DTW can significantly improve the results from trajectory extraction when compared to traditional techniques.
OpenURL Search this publication in (your) library
Persistent Identifier urn:nbn:nl:ui:22-2066/55543
Metadata XML
Source Radboud University Nijmegen

Go to page top
Go back to contents
Go back to site navigation