The Font Recognition of Printed Hangul Documents


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 4, No. 8, pp. 2017-2024, Aug. 1997
10.3745/KIPSTE.1997.4.8.2017,   PDF Download:

Abstract

The main focus of this paper is the recognition of printed Hangul documents in terms of typeface, character size and character slope for IICS(Intelligent Image Communication System). The fixed-size blocks extracted from documents are analyzed in frequency domain for the typeface classification. The vertical pixel counts and projection profile of bounding box are used for the character size classification and the character slope classification, respectively. The MLP with variable hidden nodes and error back-propagation algorithm is used as typeface classifier, and Mahalanobis distance is used to classify the character size and slope. The experimental results demonstrated the usefulness of proposed system with the mean rate of 95.19% in typeface classification. 97.34% in character size classification, and 89.09% in character slope classification.


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]
P. M. Ho, S. Y. Woo, K. S. Tae, N. J. Chan, "The Font Recognition of Printed Hangul Documents," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 4, no. 8, pp. 2017-2024, 1997. DOI: 10.3745/KIPSTE.1997.4.8.2017.

[ACM Style]
Park Moon Ho, Shon Young Woo, Kim Seok Tae, and NamKung Jae Chan. 1997. The Font Recognition of Printed Hangul Documents. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 4, 8, (1997), 2017-2024. DOI: 10.3745/KIPSTE.1997.4.8.2017.