Keyword Spotting on Hangul Document Images Using Image-to-Image Matching


The KIPS Transactions:PartB , Vol. 12, No. 3, pp. 357-364, Jun. 2005
10.3745/KIPSTB.2005.12.3.357,   PDF Download:

Abstract

In this paper, we propose an accurate and fast keyword spotting system for searching user-specified keyword in Hangul document images by using two-level image-to-image matching. The system is composed of character segmentation, creating a query image, feature extraction, and matching procedure. Two different feature vectors are used in the matching procedure. An experiment using 1600 Hangul word images from 8 document images, downloaded from the website of Korea Information Science Society, demonstrates that the proposed system is superior to conventional image-based document retrieval systems.


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Cite this article
[IEEE Style]
S. C. Park, H. J. Son, S. H. Kim, "Keyword Spotting on Hangul Document Images Using Image-to-Image Matching," The KIPS Transactions:PartB , vol. 12, no. 3, pp. 357-364, 2005. DOI: 10.3745/KIPSTB.2005.12.3.357.

[ACM Style]
Sang Cheol Park, Hwa Jeong Son, and Soo Hyung Kim. 2005. Keyword Spotting on Hangul Document Images Using Image-to-Image Matching. The KIPS Transactions:PartB , 12, 3, (2005), 357-364. DOI: 10.3745/KIPSTB.2005.12.3.357.