Text Extraction from Complex Background Images

Chao Liu; Fei Peng Da; Chen Xing Wang

doi:10.4028/www.scientific.net/AMR.765-767.975

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 765-767Text Extraction from Complex Background Images

Text Extraction from Complex Background Images

Abstract:

The rapid development of internet technology leads to an effective way to share ideas with digital information. Extracting text information from digital information especially complex background images has become increasingly important due to the demand of text understanding. In this paper, we propose a k-means clustering based method for text extraction. After locating text regions with the corner detection, an improved k-means algorithm is adopted to extract text from complex background. Experiment results show the high performance of the presented method.

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Periodical:

Advanced Materials Research (Volumes 765-767)

Pages:

975-979

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.765-767.975

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Online since:

September 2013

Authors:

Chao Liu, Fei Peng Da, Chen Xing Wang

Keywords:

K-Means Algorithm, SUSAN Algorithm, Text Extraction, Text Localization

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