Indian currency recognition based on texture analysis

Kuldeep Verma, B. Singh, Anupam Agarwal
{"title":"Indian currency recognition based on texture analysis","authors":"Kuldeep Verma, B. Singh, Anupam Agarwal","doi":"10.1109/NUICONE.2011.6153231","DOIUrl":null,"url":null,"abstract":"The bank notes are the most popular means of the value circulation. The present day financial self-service has made the currency recognition a key activity of the automated banking process. The process of the currency recognition by some extrinsic feature becomes error prone due the pollution and depreciation suffered by the currency during the transactions. Therefore we propose an Indian currency recognition system based on the intrinsic feature of the currency. In the present work we extracted texture as intrinsic features for currency recognition and evaluated the class discriminating capability of these features for Indian currency.","PeriodicalId":206392,"journal":{"name":"2011 Nirma University International Conference on Engineering","volume":"406 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Nirma University International Conference on Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NUICONE.2011.6153231","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 24

Abstract

The bank notes are the most popular means of the value circulation. The present day financial self-service has made the currency recognition a key activity of the automated banking process. The process of the currency recognition by some extrinsic feature becomes error prone due the pollution and depreciation suffered by the currency during the transactions. Therefore we propose an Indian currency recognition system based on the intrinsic feature of the currency. In the present work we extracted texture as intrinsic features for currency recognition and evaluated the class discriminating capability of these features for Indian currency.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于纹理分析的印度货币识别
纸币是最普遍的价值流通手段。当今的金融自助服务使货币识别成为银行业务自动化过程中的一项重要活动。由于货币在交易过程中受到污染和贬值,通过某些外在特征识别货币的过程容易出现错误。因此,我们提出了一种基于货币内在特征的印度货币识别系统。在本工作中,我们提取了纹理作为货币识别的内在特征,并评估了这些特征对印度货币的分类能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Optimal placement of power system stabilizers: Simulation studies on a test system Exploring a new direction in colour and texture based satellite image search and retrieval system Performance evaluation of IEEE 802.16e WiMax physical layer ANN controller for binary distillation column — A Marquardt-Levenberg approach ANN based sensorless rotor position estimation for the Switched Reluctance Motor
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1