Illumination-Reflectance Based Image Enhancement Method for Character Recognition

被引：0

作者：

Chen, Dongliang ^{[1
]}

Lan, Shanzhen ^{[1
]}

Xu, Pin ^{[1
]}

Zhang, Yongqin ^{[2
]}

机构：

[1] Commun Univ China, Informat Engn Sch, Beijing, Peoples R China

[2] Northwest Univ, Sch Informat Technol, Xian, Peoples R China

来源：

2016 9TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2016) | 2016年

关键词：

Illumination-Reflectance Model; Image Enhancement; Max-min Filtering; RETINEX;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In order to improve the robustness of the existing character recognition systems and increase their recognition ratio under various bad illumination conditions, we proposed a fast image enhancement algorithm based on illumination-reflectance model, by using an approximate edge-preserved filter. Experimental results showed that our algorithm can greatly help increase the character recognition ratio. In addition, our algorithm can be expected to achieve real-time processing.

引用

页码：207 / 211

页数：5

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