本文設(shè)計(jì)研究紙幣識(shí)別器的主要功能模塊，如圖像特征采集的硬件與程序設(shè)計(jì)﹑紙幣
識(shí)別等。設(shè)計(jì)了以中斷方式實(shí)現(xiàn)的實(shí)時(shí)特征采集系統(tǒng)；在紙幣識(shí)別部分采用神經(jīng)網(wǎng)絡(luò)模式識(shí)別系統(tǒng)中使用很廣泛的PCA主分量分析方法, 提取矩作為特征，給出紙幣識(shí)別器的BP網(wǎng)絡(luò)分類器械的設(shè)計(jì)和實(shí)現(xiàn)。
關(guān)鍵字：uclinux；紙幣識(shí)別系統(tǒng)；自動(dòng)掛號(hào)機(jī)；MDB/ICP 協(xié)議
Abstract: The main modules, such as image sampling, bill identification, data sampling, in Bill
Acceptors are designed and studied. A real-time data acquisition system which uses interrupt is designed. Size feature is chosen to identify the value of RMB paper used an analysed main heft means of PCA , selected as features,educed how to desgn and implement the BP neural network mode classifying device.
Keywords: uclinux ; bill acceptor system; self-help registration machines; MDB/ICP protocol