Intelligent Banknote Identification System

被引：0

作者：

Khashman, Adnan ^{[1
]}

Sekeroglu, Boran ^{[1
]}

机构：

[1] Near E Univ, Dept Elect & Elect Engn, Nicosia, Cyprus

来源：

WMSCI 2005: 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Vol 5 | 2005年

关键词：

neural networks; pattern recognition; average pixel per node; banknote identification;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Neural network applications have lately become a common feature with varying degrees of success and usability. Image processing has also gained an important part in engineering applications and machine automation. The combination of both image processing and neural networks can provide sufficient and robust solutions to problems where automation is required. This paper presents a real-life application using both neural networks and image processing, namely; an Intelligent Banknote Identification System (IBIS). The work presented within this paper focuses on recognizing the main currencies used in Cyprus; namely the Cyprus pound and the Turkish Lira banknotes.

引用

页码：335 / 337

页数：3