Automated Banknote Identification Method for the Visually Impaired
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-12568-8_70
Reference8 articles.
1. World Health Organization, Visual impairment and blindness, Fact Sheet No. 282, http://www.who.int/mediacentre/factsheets/fs282/en/
2. García-Lamont, F., Cervantes, J., López, A.: Recognition of Mexican banknotes via their color and texture features. Expert Systems with Applications 39(10), 9651–9660 (2012)
3. Guo, J., Zhao, Y., Cai, A.: A reliable method for paper currency recognition based on LBP. In: 2nd IEEE International Conference on Network Infrastructure and Digital Content, pp. 359–363 (2010)
4. Hasanuzzaman, F.M., Yang, X., Tian, Y.: Robust and effective component-based banknote recognition by SURF features. In: 20th Annual Wireless and Optical Communications Conference (WOCC 2011), pp. 1–6 (2011)
5. Ahangaryan, F.P., Mohammadpour, T., Kianisarkaleh, A.: Persian Banknote Recognition Using Wavelet and Neural Network. In: 2012 International Conference on Computer Science and Electronics Engineering (ICCSEE), vol. 3, pp. 679–684 (2012)
Cited by 8 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. MBDM: Multinational Banknote Detecting Model for Assisting Visually Impaired People;Mathematics;2023-03-13
2. Fine-tuned CNN-based Sri Lankan Currency Note Detection Method for the Visually Impaired People Using Smartphones;2023 3rd International Conference on Advanced Research in Computing (ICARC);2023-02-23
3. State of art on: Features extraction, recognition and detection of currency notes;INTERNATIONAL CONFERENCE ON RESEARCH IN SCIENCES, ENGINEERING & TECHNOLOGY;2022
4. Injectable biomaterials as minimal invasive strategy towards soft tissue regeneration—an overview;Journal of Physics: Materials;2021-01-26
5. Deep Feature-Based Three-Stage Detection of Banknotes and Coins for Assisting Visually Impaired People;IEEE Access;2020
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