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State of the Art in Off-Line Signature Verification

State of the Art in Off-Line Signature Verification

Luana Batista, Dominique Rivard, Robert Sabourin, Eric Granger, Patrick Maupin
Copyright: © 2008 |Pages: 24
ISBN13: 9781599048079|ISBN10: 1599048078|EISBN13: 9781599048093
DOI: 10.4018/978-1-59904-807-9.ch003
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MLA

Batista, Luana, et al. "State of the Art in Off-Line Signature Verification." Pattern Recognition Technologies and Applications: Recent Advances, edited by Brijesh Verma and Michael Blumenstein, IGI Global, 2008, pp. 39-62. https://doi.org/10.4018/978-1-59904-807-9.ch003

APA

Batista, L., Rivard, D., Sabourin, R., Granger, E., & Maupin, P. (2008). State of the Art in Off-Line Signature Verification. In B. Verma & M. Blumenstein (Eds.), Pattern Recognition Technologies and Applications: Recent Advances (pp. 39-62). IGI Global. https://doi.org/10.4018/978-1-59904-807-9.ch003

Chicago

Batista, Luana, et al. "State of the Art in Off-Line Signature Verification." In Pattern Recognition Technologies and Applications: Recent Advances, edited by Brijesh Verma and Michael Blumenstein, 39-62. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-807-9.ch003

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Abstract

Automatic signature verification is a biometric method that can be applied in all situations where handwritten signatures are used, such as cashing a check, signing a credit card, authenticating a document, and others. Over the last two decades, several innovative approaches for off-line signature verification have been introduced in literature. Therefore, this chapter presents a survey of the most important techniques used for feature extraction and verification in this field. The chapter also presents strategies used to face the problem of a limited amount of data, as well as important challenges and research directions.

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