A new method of recognizing Chinese fonts

被引：0

作者：

Yang, ZH ^{[1
]}

Yang, LH ^{[1
]}

Suen, CY ^{[1
]}

机构：

[1] S China Normal Univ, Sch Math Sci, Guangzhou 510631, Peoples R China

来源：

EIGHTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS 1 AND 2, PROCEEDINGS | 2005年

关键词：

empirical mode decomposition (EMD); Hilbert-Huang transform (HHT); font recognition;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Chinese fonts are recognized by a new method based on Empirical Mode Decomposition. Five basic strokes have been selected to characterize the features of Chinese fonts. Based on them, stroke feature sequences of a given text block are calculated Once decomposed by EMD, the first two Intrinsic Mode Functions corresponding to each stroke feature sequence are used to calculate the stroke energy of all the five basic strokes. These energies are combined with the five averages of the residues to produce a ten-dimensional feature vector Finally, the minimum distance classifier is used to recognize the fonts. Experiments show encouraging recognition rates.

引用

页码：962 / 966

页数：5

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