NDLI: Text region extraction and text segmentation on camera-captured document style images

Content Provider	IEEE Xplore Digital Library
Author	Song, Y.J. Kim, K.C. Choi, Y.W. Byun, H.R. Kim, S.H. Chi, S.Y. Jang, D.K. Chung, Y.K.
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci., Sookmyung Women's Univ., Korea (Song, Y.J.)
Abstract	In this paper, we propose a text extraction method from camera-captured document style images and propose a text segmentation method based on a color clustering method. The proposed extraction method detects text regions from the images using two low-level image features and verifies the regions through a high-level text stroke feature. The two level features are combined hierarchically. The low-level features are intensity variation and color variance. And, we use text strokes as a high-level feature using multi-resolution wavelet transforms on local image areas. The stroke feature vector is an input to a SVM (support vector machine) for verification, when needed. The proposed text segmentation method uses color clustering to the extracted text regions. We improved K-means clustering method and it selects K and initial seed values automatically. We tested the proposed methods with various document style images captured by three different cameras. We confirmed that the extraction rates are good enough to be used in real-life applications.
Starting Page	172
Ending Page	176
File Size	467308
Page Count	5
File Format	PDF
ISBN	0769524206
ISSN	15205263
DOI	10.1109/ICDAR.2005.234
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-08-31
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Image edge detection Computer science Cameras Intelligent robots Text recognition Clustering methods Support vector machines Lighting Image recognition
Content Type	Text
Resource Type	Article

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