A Document Image Preprocessing System for Keyword Spotting

Jeong, C. B.; Kim, S. H.

doi:10.1007/978-3-540-30544-6_47

A Document Image Preprocessing System for Keyword Spotting

C. B. Jeong²² &
S. H. Kim²²

Conference paper

943 Accesses
6 Citations

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3334))

Abstract

This paper presents a system for the segmentation of a printed document image into word images, which can be used effectively for document image retrieval based on keyword spotting. The system is composed of three image manipulation modules: skew correction, document layout analysis, and word segmentation. To enhance the practical applicability and flexibility of our research results, we test the system with 50 images of Korean papers and 50 images of English papers provided through full-text image retrieval services by the Korea Information Science Society and the Pattern Recognition Society, respectively. Currently, the accuracy of word extraction ranges from 90 to 95%, depending on the language of the document.

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References

Doermann, D.: The indexing and retrieval of document images: a survey. Computer Vision and Image Understanding 70(3), 287–298 (1998)
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Kwag, H.K., Kim, S.H., Jeong, S., Lee, G.S.: Efficient Skew Estimation and Correction Algorithm for Document Images. Image and Vision Computing 20(1), 25–35 (2002)
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Park, D.Y., Kwag, H.K., Kim, S.H.: Document Layout Analysis using Coarse/Fine Strategy. In: Proceedings of the Conference on Korea Electronics Engineers Society, vol. 23(1), pp. 198–201 (2000)(text in Korean)
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Kim, S.H., Jeong, C.B., Kwag, H.K., Suen, C.Y.: Word Segmentation of Printed Text Lines Based on Gap Clustering and Special Symbol Detection. In: Proceedings of the International Conference on Pattern Recognition, vol. 2, pp. 320–323 (2002)
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Authors and Affiliations

Department of Computer Science, Chonnam National University, 300 YongBong-dong, Buk-Gu, Gwangju, 500-757, Korea
C. B. Jeong & S. H. Kim

Authors

C. B. Jeong
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S. H. Kim
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Editors and Affiliations

Shanghai Jiao Tong University, Shanghai, P.R. China
Zhaoneng Chen
Department of Management Information Systems, Eller College of Management, The University of Arizona, 85721, AZ, USA
Hsinchun Chen
Shanghai Library, Shanghai, P.R. China
Qihao Miao
BASICS, Department of Computer Science and Engineering, Shanghai Jiao Tong University, 200030, Shanghai, China
Yuxi Fu
Digital Library Research Laboratory, Virginia Tech, USA
Edward Fox
School of Computer Engineering, Nanyang Technological University,
Ee-peng Lim

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Jeong, C.B., Kim, S.H. (2004). A Document Image Preprocessing System for Keyword Spotting. In: Chen, Z., Chen, H., Miao, Q., Fu, Y., Fox, E., Lim, Ep. (eds) Digital Libraries: International Collaboration and Cross-Fertilization. ICADL 2004. Lecture Notes in Computer Science, vol 3334. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30544-6_47

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DOI: https://doi.org/10.1007/978-3-540-30544-6_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24030-3
Online ISBN: 978-3-540-30544-6
eBook Packages: Computer ScienceComputer Science (R0)

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