NDLI: Document image segmentation using Gabor wavelet and kernel-based methods

Content Provider	IEEE Xplore Digital Library
Author	Yu-Long Qiao Zhe-Ming Lu Chun-Yan Song Sheng-He Sun
Copyright Year	2006
Description	Author affiliation: Dept. of Autom. Test & Control, Harbin Inst. of Technol. (Yu-Long Qiao; Zhe-Ming Lu)
Abstract	The document image segmentation is an important component in the document image understanding. kernel-based methods have demonstrated excellent performances in a variety of pattern recognition problems. This paper applies kernel-based methods and Gabor wavelet to the document image segmentation. The feature image are derived from Gabor filtered images. Taking the computational complexity into account, we subject the sampled feature image to spectral clustering algorithm (SCA). The clustering results serve as training samples to train a support vector machine (SVM). The initial segmentation is obtained by assigning class labels to pixels of the feature image with the trained SVM. A proper post-processing is used to improve the segmentation result. Several representative document images scanned from popular newspapers and journals are employed to verify the effectiveness of our algorithm
Starting Page	5
Ending Page	455
File Size	1647834
Page Count	451
File Format	PDF
ISBN	0780393953
DOI	10.1109/ISSCAA.2006.1627662
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Wavelet transforms Image segmentation Image coding Signal processing algorithms Clustering algorithms Frequency Partitioning algorithms Gabor filters Pixel
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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