An Improved Direction Index Histogram Handwriting Identification Method

被引：0

作者：

Wang, Hui ^{[1
]}

Liu, Gang ^{[2
]}

Ke, Hongchang ^{[3
]}

机构：

[1] Changchun Univ Technol, Coll Comp Sci & Engn, Changchun 130012, Peoples R China

[2] Changchun Univ Technol, Sch Software, Changchun 130012, Peoples R China

[3] Changchun Inst Technol, Software Vocat Inst Technol, Changchun 130012, Peoples R China

来源：

2012 7TH INTERNATIONAL CONFERENCE ON SYSTEM OF SYSTEMS ENGINEERING (SOSE) | 2012年

关键词：

handwriting identification; direction index histogram; writing influence factor; character influence factor;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Based on direction index histogram (DIH) handwriting identification method, a new improved DIH handwriting identification algorithm is proposed. Firstly handwriting image which is prepared to test is pre-treat, then binary and removing noise the normalized image can be obtain. The obtained features of distance are divided into two factors: writing influence factor and character influence factor, then compared the pre-test images with samples of handwriting images according to the features of the images. Experimental results show that the handwriting identification algorithm proposed by this paper has better recognition rate than DIH algorithm, and obtain better result..

引用

页码：127 / 129

页数：3

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