Text and Non-text Separation in Handwritten Document Images Using Local Binary Pattern Operator
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-10-2035-3_52
Reference12 articles.
1. Okun, O., Dœrmann, D., & Pietikainen, M. (1999). Page segmentation and zone classification: the state of the art (No. LAMP-TR-036). OULU UNIV (FINLAND) DEPT OF ELECTRICAL ENGINEERING.
2. Roy, P. P., Lladó, J., & Pal, U. (2007, March). Text/graphics separation in color maps. In Computing: Theory and Applications, 2007. ICCTA’07. International Conference on (pp. 545–551). IEEE.
3. Bukhari, S. S., Azawi, A., Ali, M. I., Shafait, F., & Breuel, T. M. (2010, June). Document image segmentation using discriminative learning over connected components. In Proceedings of the 9th IAPR International Workshop on Document Analysis Systems (pp. 183–190). ACM.
4. Sarkar, R., Moulik, S., Das, N., Basu, S., Nasipuri, M., & Kundu, M. (2011, November). Suppression of non-text components in handwritten document images. In Image Information Processing (ICIIP), 2011 International Conference on (pp. 1–7). IEEE.
5. Zirari, F., Ennaji, A., Nicolas, S., & Mammass, D. (2013, May). A simple text/graphic separation method for document image segmentation. In Computer Systems and Applications (AICCSA), 2013 ACS International Conference on (pp. 1–4). IEEE.
Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. DSANet: dilated spatial attention network for the detection of text, non-text and touching components in unconstrained handwritten documents;Neural Computing and Applications;2024-06-04
2. Integrated document segmentation and region identification: textual, equation and graphical;Multimedia Systems;2023-09-12
3. Utilization of relative context for text non-text region classification in offline documents using multi-scale dilated convolutional neural network;Multimedia Tools and Applications;2023-09-04
4. DBPNet: A dual-branch pyramid network for document super-resolution;Pattern Recognition Letters;2023-02
5. Application of texture-based features for text non-text classification in printed document images with novel feature selection algorithm;Soft Computing;2021-10-06
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3