Paper Currency recognition for color images based on Artificial Neural Network

被引：0

作者：

Jyothi, Ch. Ratna ^{[1
]}

SundaraKrishna, Y. K. ^{[1
]}

SrinivasaRao, V. ^{[2
]}

机构：

[1] Krishna Univ, Dept Comp Sci, Machilipatnam, India

[2] VRSEC, Dept Comp Sci & Engn, Vijayawada, India

来源：

2016 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, AND OPTIMIZATION TECHNIQUES (ICEEOT) | 2016年

关键词：

formatting; style; styling; insert;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Monetary transactions are integral part of our day to day activities, so currency recognition has become one of the active research area at present and it has vast potential applications. In this paper we introduced a system to recognize and classify four different currencies using computer vision. As there are 200+different currencies used in different countries around the world. The technology of currency recognition aims to search and extract the visible as well as hidden marks on paper currency for efficient classification. The features are extracted based on color, texture and shape for four different currencies and they are classified using Artificial Neural network.

引用

页码：3402 / 3406

页数：5

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