Abstract
Abstract Amongst different approaches, dynamic time warping has shown promising results during the online signature verification competitions of previous years. To improve the results of dynamic time warping, different preprocessing steps may be applied and different dimensions of the samples may be compared. The choice of preprocessing steps and comparing dimensions may significantly influence the results. Thus, to aid researchers with these decisions, a comparison made between the results of promising preprocessing algorithms as horizontal scaling, vertical scaling and alignment using dynamic time warping in different dimensions and their combinations on two datasets (SVC2004 and MCYT-100). The results showed that preprocessing methods made a very promising improvement in the verification accuracy.
Highlights
Online signature verification is an important field in forensic examination
To aid researchers with these decisions, a comparison made between the results of promising preprocessing algorithms as horizontal scaling, vertical scaling and alignment using dynamic time warping in different dimensions and their combinations on two datasets (SVC2004 and MCYT-100)
The accuracy of the Dynamic Time Warping (DTW)-based classifier can be improved by using preprocessing algorithms as peer the results
Summary
Online signature verification is an important field in forensic examination. Fingerprint or face-based identification methods are more secure, signatures are still used in several fields around the world. Based on the input data, there are two types of signatures: offline and online. In offline signatures, data is an image of the signature like bank checks and documents), and in online signatures, data is captured using a special device, for example a pressure-sensitive tablet. The data in Unauthenticated | Downloaded 11/02/21 04:04 PM UTC online signatures includes many features, for instance strokes, speed, pen pressure, pen position, etc. These features make the signature unique and hard to forge
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