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State of the Art in Writer's Off-Line Identification

State of the Art in Writer's Off-Line Identification

Carlos M. Travieso González, Carlos F. Romero
Copyright: © 2009 |Pages: 8
ISBN13: 9781599048499|ISBN10: 1599048493|EISBN13: 9781599048505
DOI: 10.4018/978-1-59904-849-9.ch212
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MLA

Travieso González, Carlos M., and Carlos F. Romero. "State of the Art in Writer's Off-Line Identification." Encyclopedia of Artificial Intelligence, edited by Juan Ramón Rabuñal Dopico, et al., IGI Global, 2009, pp. 1447-1454. https://doi.org/10.4018/978-1-59904-849-9.ch212

APA

Travieso González, C. M. & Romero, C. F. (2009). State of the Art in Writer's Off-Line Identification. In J. Rabuñal Dopico, J. Dorado, & A. Pazos (Eds.), Encyclopedia of Artificial Intelligence (pp. 1447-1454). IGI Global. https://doi.org/10.4018/978-1-59904-849-9.ch212

Chicago

Travieso González, Carlos M., and Carlos F. Romero. "State of the Art in Writer's Off-Line Identification." In Encyclopedia of Artificial Intelligence, edited by Juan Ramón Rabuñal Dopico, Julian Dorado, and Alejandro Pazos, 1447-1454. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-59904-849-9.ch212

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Abstract

Today, advances in Computer Science and the proliferation of computers in modern society are an unquestionable fact. Nevertheless, the continuing importance of orthography and the hand-written document are also beyond doubt. The new technologies permit us to work with online information collecting, but there is still a large quantity of information in our society which requires using algorithms for samples off-line. Security in certain applications requires having biometric systems for their identification; in particular, banking checks, wills, postcards, invoices, medical prescriptions, etc, require the identity of the person who has written them to be verified. The only way to do this is with writer recognition techniques. Furthermore, many hand-written documents are vulnerable to possible forgeries, deformations or copies, and generally, to illicit misuse. Therefore, a high percentage of routine work is carried out by experts and professionals in this field, whose task is to certify and to judge the authenticity or falsehood of handwritten documents (for example: wills) in a judicial procedure. Therefore nowadays research on writer identification is an active field. At present, some software tools enable certain characteristics to be displayed and visualised by experts and professionals, but these experts need to devote a great deal of time to such investigations before they are able to draw up conclusions about a given body of writing. Therefore, these tools are not time-saving and nor do they provide a meticulous analysis of the writing. They have to work with graph paper and templates in order to obtain parameters (angles, dimensions of the line, directions, parallelisms, curvatures, alignments, etc.). Moreover, they have to use a magnifying glass and graph paper in order to measure angles and lines. This research aims to lighten this arduous task.

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