Universiti Teknologi Malaysia Institutional Repository

Feature discretization for individuality representation in twins handwritten identification

Mohammed, Bayan Omar and Shamsuddin, Siti Mariyam (2011) Feature discretization for individuality representation in twins handwritten identification. Journal of Computer Science, 7 (7). pp. 1080-1087. ISSN 1549-3636

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Official URL: http://dx.doi.org/10.3844/jcssp.2011.1080.1087

Abstract

Problem statement: The study on twins is an important form of study in the forensic and biometrics field as twins share similar genetic traits. Handwriting is one of the common types of forensic evidence. Differentiating the similarities of writing of a pair of twins is critical in establishing the reliability of handwriting identification. Writing style can be used as biometric features in authenticating individual uniqueness where these unique features can be used to identify the writer, including between a pair of twins. Existing works in Writer Identification concentrate on feature extraction and the classification task in order to identify authorship. The high similarity in a pair of twins' handwriting may degrade classification performance. There should be some standards to represent these unique features before entering into the classification task which is with the use of discretization technique. Approach: We proposed a new framework for writer identification in terms of identifying twins' handwriting and showed the effect of discretization process on handwriting samples of a pair of twins in order to obtain individual identification. Results: An experiment has been done at the Sulaimania University in Iraq with fourteen pairs of identical twins where each twin provides 4 samples of handwriting for the purpose of data collecting. These samples were implemented in this research making a comparison between the new proposed framework and classic framework. Conclusion: Our experimental results showed that with new framework identification of handwriting of a pair of twins can be improved through the discretization process.

Item Type:Article
Uncontrolled Keywords:discretization technique, humans knowledge, individuality representation, macro-feature, pattern recognition, psychological traits, real writer, twins' handwriting, unique code, writer identification
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System
ID Code:29696
Deposited By: Yanti Mohd Shah
Deposited On:21 Mar 2013 08:44
Last Modified:10 May 2019 07:14

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