Improvement of reliability in banknote classification using reject option and local PCA

Author:

Ahmadi Ali,Omatu Sigeru,Fujinaka Toru,Kosaka Toshihisa

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference11 articles.

1. A. Ahmadi, S. Omatu, A high reliability method for classification of paper currency based on neural networks, in: Proceeding of The Eighth International Symposium on Artificial Life and Robotics (AROB 8th '03) 2, Oita, Japan, 2003, pp. 601-604

2. On optimum error and reject trade-off;Chow;IEEE Transactions on Information Theory,1970

3. L.P. Cordella, P. Foggia, C. Sansone et al., Optimizing the error/reject trade-off for a multi-expert system using the Bayesian combining rule, in: Proceeding of the International Workshop on Structural and Syntactic Pattern Recognition (SSPR), Sydney, NSW, Australia, 1998, pp. 716–725

4. Reliability parameters to improve combination strategies in multi-expert systems;Cordella;Pattern Analysis and Applications,1999

5. A neural network-based model for paper currency recognition and verification;Frosini;IEEE Transactions on Neural Networks,1996

Cited by 17 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. Evaluating pointwise reliability of machine learning prediction;Journal of Biomedical Informatics;2022-03

2. Ethiopian Banknote Recognition Using Convolutional Neural Network and Its Prototype Development Using Embedded Platform;Journal of Sensors;2022-01-12

3. INDIAN CURRENCY DATABASE FOR FORENSIC RESEARCH;Advances in Digital Forensics XVII;2021

4. High correlation-based banknote gradient assessment of ensemble classifier;International Journal of Wavelets, Multiresolution and Information Processing;2019-05

5. Sample partition and grouped sparse representation;Journal of Modern Optics;2017-08-17

同舟云学术

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