文章基本信息

标题：COMPUTATIONALLY INEXPENSIVE SEQUENTIAL FORWARD FLOATING SELECTION FOR ACQUIRING SIGNIFICANT FEATURES FOR AUTHORSHIP INVARIANCENESS IN WRITER IDENTIFICATION
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作者：Satrya Fajri Pratama ; Azah Kamilah Muda ; Yun-Huoy Choo 等
期刊名称：International Journal of New Computer Architectures and their Applications
印刷版ISSN：2220-9085
出版年度：2011
卷号：1
期号：3
页码：581-598
出版社：Society of Digital Information and Wireless Communications
摘要：Handwriting is individualistic. The uniqueness of shape and style of handwriting can be used to identify the significant features in authenticating the author of writing. Acquiring these significant features leads to an important research in Writer Identification domain where to find the unique features of individual which also known as Individuality of Handwriting. This paper proposes an improved Sequential Forward Floating Selection method besides the exploration of significant features for invarianceness of authorship from global shape features by using various wrapper feature selection methods. The promising results show that the proposed method is worth to receive further exploration in identifying the handwritten authorship.
关键词：computationally inexpensive; feature ; selection; authorship invarianceness; ; significant features; writer identification