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作者:

Qing, Zhu (Qing, Zhu.) | He, Xin (He, Xin.)

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EI Scopus

摘要:

Handwritten numeral recognition is about identifying Arabic numerals and various coding and statistical data which are composed by a few of special symbols. Feature extraction for improved recognition rate has a great influence, and effective classification can be characterized in that the feature is separability, reliability and independence. Characteristic dimension should as little as possible. To meet this requirement, classifier needs to combine various features to put them together. This article describes the extraction method of handwritten digits eigen values, based on the researches on features of several handwritten digits, discussing 6 kinds of features, they are Fourier switch features, stroke density features, contour features, projection features, the barycenter and barycenter distance feature, wide grid feature. Finally using inner and outer analogy method to select and filter the features. © Springer-Verlag Berlin Heidelberg 2013.

关键词:

Character recognition Ecosystems Extraction Feature extraction Natural resources management Resource allocation

作者机构:

  • [ 1 ] [Qing, Zhu]The School of Software Engineering, Beijing University of Technology, Beijing, China
  • [ 2 ] [He, Xin]The School of Software Engineering, Beijing University of Technology, Beijing, China

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ISSN: 1865-0929

年份: 2013

卷: 398 PART I

页码: 58-67

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 3

ESI高被引论文在榜: 0 展开所有

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