We present a method for binarization of degraded call number images. Based on the texture feature of the character stroke, the algorithm initially detects the character pixels to determine the size of the local area and compute the logical thresholding level. Experimental results prove the effectiveness of the method.
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Hu XIAOFENG, Ye QINGTAI, "Adaptive Thresholding for Degraded Call Number Images" in IEICE TRANSACTIONS on Information,
vol. E88-D, no. 1, pp. 162-163, January 2005, doi: 10.1093/ietisy/e88-d.1.162.
Abstract: We present a method for binarization of degraded call number images. Based on the texture feature of the character stroke, the algorithm initially detects the character pixels to determine the size of the local area and compute the logical thresholding level. Experimental results prove the effectiveness of the method.
URL: https://globals.ieice.org/en_transactions/information/10.1093/ietisy/e88-d.1.162/_p
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@ARTICLE{e88-d_1_162,
author={Hu XIAOFENG, Ye QINGTAI, },
journal={IEICE TRANSACTIONS on Information},
title={Adaptive Thresholding for Degraded Call Number Images},
year={2005},
volume={E88-D},
number={1},
pages={162-163},
abstract={We present a method for binarization of degraded call number images. Based on the texture feature of the character stroke, the algorithm initially detects the character pixels to determine the size of the local area and compute the logical thresholding level. Experimental results prove the effectiveness of the method.},
keywords={},
doi={10.1093/ietisy/e88-d.1.162},
ISSN={},
month={January},}
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TY - JOUR
TI - Adaptive Thresholding for Degraded Call Number Images
T2 - IEICE TRANSACTIONS on Information
SP - 162
EP - 163
AU - Hu XIAOFENG
AU - Ye QINGTAI
PY - 2005
DO - 10.1093/ietisy/e88-d.1.162
JO - IEICE TRANSACTIONS on Information
SN -
VL - E88-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2005
AB - We present a method for binarization of degraded call number images. Based on the texture feature of the character stroke, the algorithm initially detects the character pixels to determine the size of the local area and compute the logical thresholding level. Experimental results prove the effectiveness of the method.
ER -