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


Vol. 12,  No. 3, pp. 357-364, Jun.  2005
10.3745/KIPSTB.2005.12.3.357


PDF
  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.

  Statistics
  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.

Forms

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)

Old Journals

Indexing

All publications of TKIPS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.

TKIPS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

Related Journals