We developed the framework for biometric user authentication based on dynamic
handwritten signature recognition using a graphics tablet. The framework was developed in …

Deep convolutional neural networks are becoming extremely popular in classification,
especially when the inputs are non-sequential in nature. Though it seems unrealistic to …

In this paper we proposed the approach for dynamic handwritten signatures recognition. We
proposed a formal model of the handwritten signature, containing fuzzy features of curvature …

Abstract Online Signature Verification (OSV) is a widely adapted biometric characteristics,
that objects to determine the signature's authenticity by computing its unique features. OSV …

Background: With the increasing advancement of technology, it is necessary to develop
more accurate, convenient, and cost-effective security systems. Handwriting signature, as …

Handwriting signature, as an important behavioral biometric trait, has been broadly adopted
for authorization and identity verification. Nowadays, the emergence of consumer-level …

Online Signature Verification (OSV) is a widely used biometric attribute for user behavioral
characteristic verification in digital forensics. In this manuscript, owing to large intra …

Writer identification plays a significant role in several applications including forensic trace
evidence identification, mobile bank transaction authentication, and handwritten …

In this paper we proposed the approach for recognition handwritten signatures based on
dynamics characteristics and fuzzy sets theory. We suggested the formal model of human …

Данная статья посвящена разработке метода распознавания динамической
рукописной подписи. В основу метода положены признаки подписи, определённые с …