extract currency 中文意思是什麼
extract currency
解釋
提取幣種-
The feed - forward neural network is provided to recognizing the currency values, which makes use of the capability to extract features automatically and the error tolerance of neural networks
利用神經網路自動特徵提取能力和容錯特性，提出使用前饋神經網路對面值進行識別。 -
First, the currency recognition system and its technology situation are summarized ; then the methods to extract and how to choose the currency features that best reflected the classified character are discussed ; after that algorithms of values classification and fake identification are investigated respectively
本文首先對貨幣識別系統的技術現狀進行了綜述，在此基礎上論述了貨幣特徵的提取和選擇方法，以得到最能反映分類判別特徵的貨幣信息；然後分別研究了貨幣面值和真偽的識別方法。 -
First classifier chooses two classes whose matching distance between it and paper currency is bigger than others from all class. then in the second stage, we extract some new feature and improve the classifier to generate the last result. in the stage of defect detection for paper currency, we advances a homogeneity based algorithm for the detection of scratch and cracks appearing on paper currency, in which the homogeneity feature of the sensed paper currency image is first constructed to locate the pixels that probably been polluted, the image registration algorithm is subsequently used to overlay the sensed and reference paper currency image
在特徵提取中，我們對基於方向塊的特徵提取方法進行了分析，在此基礎上針對美元特點，對圖像方向塊的劃分方式做了研究，並提出了基於幾何距離的特徵提取方法;在分類器設計中，我們採用了lvq網路對紙幣進行學習與分類，並提出了一種具有兩層結構的分類演算法，第一層首先對輸入的特徵向量進行粗分類，選定與特徵向量匹配距離最大的兩類幣種，進入第二層分類器;在第二層分類器中，我們通過研究進入該模塊兩類幣種特徵塊的相關性，重新設計了特徵向量，同時對分類器進行改進，最終實現對紙幣的分類。 -
So it is an important guarantee for improving the recognition ratio to currency paper how to extract the characteristic information from currency image with noises and select a proper pattern recognition arithmetic
本課題在對國內外已有的貨幣識別系統技術分析的基礎上，以人民幣顯性圖像為研究對象，對人民幣顯性圖像識別方法進行研究。
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