一种简易的纸币识别算法(A simple paper currency recognition algorithm).doc
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一种简易的纸币识别算法(A simple paper currency recognition algorithm)
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A simple paper currency recognition algorithm
Song Xiaoji Yang Yanyun Tan Bin Li Jianwei Zhang Jian poplar ridge
(School of Electronic Science and engineering, National University of Defense Technology
Changsha 742100)
Abstract: This paper combines the theory of pattern recognition and stochastic signal analysis and processing
A paper currency identification model is proposed
Cluster analysis and matched filtering are the main methods
A simple and reliable algorithm for banknote recognition is developed
Some meaningful conclusions are drawn
Keywords: pattern recognition, random signal analysis, cluster analysis, matched filtering
0 Introduction
Automatic banknote identification technology
Improved efficiency in industries such as commerce and Banking
Convenient for peoples daily life
Developing better paper currency identification algorithms
Has been concerned about R D personnel
Note recognition technology has high accuracy and real-time
meanwhile
Taking into account the hardware platform
The algorithm should be simple
Easy to transplant and control costs
In response to these requirements
A paper currency recognition algorithm based on clustering analysis and matched filtering is studied
1 the principle of cluster analysis
1.1 introduction to cluster analysis
Clustering analysis takes into account the similarity between patterns
Assemble samples of similar size into one type
In this paper, simple clustering method is applied
This method compares the distance between the patterns to each cluster center and the threshold
The model is used as a class of other classes when both are greater than the threshold
When it is less than the threshold, it is divided into a class according to the minimum distance principle
Its outstanding feature is simple calculation
Under the given conditio
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