A new algorithm for identity verification based on the analysis of a handwritten dynamic signature

TL;DR

This paper introduces a novel signature partitioning algorithm that combines vertical and horizontal sections to improve the accuracy of handwritten dynamic signature verification.

Contribution

The paper presents a new hybrid partitioning approach for signature analysis, enhancing verification precision by selecting stable signature segments based on velocity and pressure.

Findings

Improved verification accuracy on MCYT-100 database

Effective use of hybrid partitions for signature stability assessment

Enhanced signature analysis through combined vertical and horizontal segmentation

Abstract

Identity verification based on authenticity assessment of a handwritten signature is an important issue in biometrics. There are many effective methods for signature verification taking into account dynamics of a signing process. Methods based on partitioning take a very important place among them. In this paper we propose a new approach to signature partitioning. Its most important feature is the possibility of selecting and processing of hybrid partitions in order to increase a precision of the test signature analysis. Partitions are formed by a combination of vertical and horizontal sections of the signature. Vertical sections correspond to the initial, middle, and final time moments of the signing process. In turn, horizontal sections correspond to the signature areas associated with high and low pen velocity and high and low pen pressure on the surface of a graphics tablet. Our previous research on vertical and horizontal sections of the dynamic signature (created independently) led us to develop the algorithm presented in this paper. Selection of sections, among others, allows us to define the stability of the signing process in the partitions, promoting signature areas of greater stability (and vice versa). In the test of the proposed method two databases were used: public MCYT-100 and paid BioSecure.