Online Handwritten Signature Verification: The State of the Art

2Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Handwritten signature is the most common method for biometric verification. The purpose of this research is to analyze the existing approaches to the implementation of the algorithm for verification of handwritten signatures. Existing researches use various technologies, such as neural network, hidden Markov model and SVM algorithm, to solve the task of signature verification, and they are constantly introducing new ideas, concepts and algorithms. Signature verification is a real challenge for researchers due to many difficulties that may arise in the process of creating such system. The most promising algorithm will form the basis of the developed authentication system based on a handwritten signature.

Cite

CITATION STYLE

APA

Epishkina, A. V., & Beresneva, A. (2020). Online Handwritten Signature Verification: The State of the Art. In Mechanisms and Machine Science (Vol. 80, pp. 329–334). Springer Science and Business Media B.V. https://doi.org/10.1007/978-3-030-33491-8_39

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free