Text Verification Based on Sub-Image Matching


The KIPS Transactions:PartB , Vol. 12, No. 2, pp. 115-122, Apr. 2005
10.3745/KIPSTB.2005.12.2.115,   PDF Download:

Abstract

The sub-image matching problem, in which one image contains some part of the other image, has been mostly investigated on natural images. In this paper, we propose two sub-image matching techniques : mesh-based method and correlation-based method, that are efficiently used to match text images. Mash-based method consists of two stages, box alignment and similarity measurement by extracting the mesh feature from the two images. Correlation-based method determines the similarity using the correlation of the two imaged based on FFT function. We have applied the two methods to the text verification in a postal automation system and observed that the accuracy correlation-based method is 92.7% while that of mesh-based method is 90.1%.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
H. J. Son, S. H. Jeong, S. H. Kim, "Text Verification Based on Sub-Image Matching," The KIPS Transactions:PartB , vol. 12, no. 2, pp. 115-122, 2005. DOI: 10.3745/KIPSTB.2005.12.2.115.

[ACM Style]
Hwa Jeong Son, Seon Hwa Jeong, and Soo Hyung Kim. 2005. Text Verification Based on Sub-Image Matching. The KIPS Transactions:PartB , 12, 2, (2005), 115-122. DOI: 10.3745/KIPSTB.2005.12.2.115.