A Mixed Edge Based Text Detection Method by Applying Image Complexity Analysis

被引：0

作者：

Li, Minhua ^{[1
]}

Bai, Meng ^{[1
]}

机构：

[1] Shandong Univ Sci & Technol, Dept Elect Engn & Informat Technol, Jinan, Shandong, Peoples R China

来源：

PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012) | 2012年

关键词：

text detection; morphology; edge detection; image complexity;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

To detect text from an image with a different background, an adaptive text detection method based on image complexity analysis is proposed. Before text detection, this approach adopts an image complexity analysis step to classify image complexity into three categories: low complexity, middle complexity and high complexity. Then images with different complexity adopt different methods to extract image edges. The proposed text detection method takes a coarse to fine detection strategy which combines the edge-based method, connected component based method and the texture based method into a framework. Experimental results demonstrate the performance of the proposed method.

引用

页码：4809 / 4814

页数：6

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