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Authorship Invarianceness for Writer Identification

Authors: Muda, Azah Kamilah; Shamsuddin, Siti Mariyam; Abraham, Ajith;

Authorship Invarianceness for Writer Identification

Abstract

The uniqueness of shape and style of handwriting can be used for author’s authentication. Acquiring individual features to obtain Authorship Invarianceness Concept have led to an important research in Writer Identification domain. This paper discusses the investigation of this concept by extracting individual features using Geometric Moment Function. Experiment results have shown that Handwriting Invarianceness are discerning with better identification accuracy. This has verified that Moment Function is worth to be explored in identifying the handwritten authorship for Writer Identification.

Country
Malaysia
Keywords

QA75 Electronic computers. Computer science

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Average
Average
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