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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Exploring New Handwriting Parameters for Writer Identification

Exploring New Handwriting Parameters for Writer Identification
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Author(s): Verónica Inés Aubin (Universidad Nacional de La Matanza, Argentina) and Jorge Horacio Doorn (Universidad Nacional del Oeste, Argentina & Universidad Nacional de La Matanza, Argentina)
Copyright: 2018
Pages: 9
Source title: Encyclopedia of Information Science and Technology, Fourth Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-2255-3.ch403


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The automatic processing of handwriting samples is part of the computational biometric. It applies qualitative and quantitative techniques by means of capturing, visualizing and analyzing handwriting. The main applications are writer identification and text understanding. Two significantly different situations appear: on line and off line data capturing. In the former the samples are obtained in a dedicated framework, where the writing instrument and the surface have several sensors. In the latter, the unique information available comes from the residues left on the paper. This chapter deals with the second situation. Width, grey value, direction and other parameters of the residual manuscript text are influenced by the psychomotor characteristics of the writer. Some of these personal parameters may be estimated from the observable properties of the written text.

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