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Automatic Handwriting Identification on Medieval Documents

14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007
In this paper, we evaluate the performance of text-independent writer identification methods on a handwriting dataset containing medieval English documents. Applicable identification rates are achieved by combining textural features (joint directional probability distributions) with allographic features (grapheme-emission distributions).
Marius Bulacu, Lambert Schomaker
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Handwriting identification: a direction review

2009 IEEE International Conference on Signal and Image Processing Applications, 2009
Handwriting is a behavioral trait that is personal to individual. The character shape and the style of writing are visually different from one to another. Handwriting identification is a process to identify or verify the authorship of a handwriting document.
null Khaled Mohammed bin Abdl, null Siti Zaiton Mohd Hashim   +1 more
exaly   +2 more sources

HANDWRITING-BASED PERSONAL IDENTIFICATION

International Journal of Pattern Recognition and Artificial Intelligence, 2006
Handwriting-based personal identification, which is also called handwriting-based writer identification, is an active research topic in pattern recognition. Despite continuous effort, offline handwriting-based writer identification still remains as a challenging problem because writing features can only be extracted from the handwriting image.
Zhenyu He 0001, Xinge You, Yuan Yan Tang, Bin Fang 0001, Jianwei Du   +4 more
openaire   +1 more source

Handwriting Identification

Journal of Forensic Document Examination, 2017
The authors are all practicing forensic document examiners for the New Zealand Police.  However, this review was prepared by them in their personal capacity. The views and opinions expressed in this review are those of the authors and do not necessarily reflect the view of the New Zealand Police.   Receive Book Review ...
Delwynne Walsh, Gordon Sharfe, Trish James, Jess Owen, David Boot, Nicole Walker, Margaret Hill   +6 more
openaire   +1 more source

The Identification of Handwriting

Australian Journal of Forensic Sciences, 1968
(1968). The Identification of Handwriting. Australian Journal of Forensic Sciences: Vol. 1, No. 1, pp. 23-33.
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A Study of the Factors in the Identification of Handwriting

The Journal of Social Psychology, 1946
(1946). A Study of the Factors in the Identification of Handwriting. The Journal of Social Psychology: Vol. 24, No. 1, pp. 101-109.
openaire   +2 more sources

Feature Selection for Forensic Handwriting Identification

2013 12th International Conference on Document Analysis and Recognition, 2013
Current paper describes the use of a feature selection technique to reduce the number of features while the goodness set is selected on a framework for forensic handwriting identification. A sequential forward search and an evaluation criterion based on dependency were used to obtain a goodness subset (GS) to improve the identification rate.
Aline Maria Malachini Miotto Amaral, Cinthia Obladen de Almendra Freitas, Flávio Bortolozzi   +2 more
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Handwriting Identification of Short Historical Manuscripts

2018 13th IAPR International Workshop on Document Analysis Systems (DAS), 2018
The study of historical documents is an important and complex branch of document analysis. Ancient manuscripts are often altered by time or environmental conditions and the availability of large data sets is not always guaranteed. In this work, we propose a new solution for the attribution of short historical documents based on both allographic and ...
Piercarlo Dondi, Alessandro Danani, Luca Lombardi, Marco Malagodi, Maurizio Licchelli   +4 more
openaire   +2 more sources

Offline handwriting segmentation for writer identification

2014 International Symposium on Biometrics and Security Technologies (ISBAST), 2014
In this paper we present a new technique for off-line text-independent handwriting analysis based on segmentation. Segmentation is a common step used in different research works in order to generate connected components that will be processed to extract features (geometry, concavity etc.).
Eduardo Cermeño, Silvana Mallor, Juan A. Sigüenza   +2 more
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Influence of Serious Illness on Handwriting Identification

Postgraduate Medicine, 1956
(1956). Influence of Serious Illness on Handwriting Identification. Postgraduate Medicine: Vol. 19, No. 2, pp. A-36-A-48.
Thomas A. Gonzales, Milton Helpern, Samuel A. Levinson, Ordway Hilton   +3 more
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