摘要
论述了一种钞票图像采集和识别自适应修正方法,能够解决钞票采集识别系统在实际使用过程中因为累积误差导致的欠补偿和过补偿问题。方法首先对钞票特征进行识别得到币种和面额信息,同时根据识别结果获取不同币种和面额钞票上的特定区域;然后根据特定区域获取对应光电信号的特征信息,根据该特征信息计算得到采集系统的累积分量和微分误差;最后根据累积分量和微分误差计算得到对光电信号的总修正量,更新到修正单元实现钞票图像采集系统自适应修正。
Describes an adaptive correction method for banknote image acquisition and recognition,which can solve the problem of undercompensation and over-compensation caused by accumulated errors in the actual use of banknote acquisition and recognition system.Firstly,the currency and denomination information are obtained by recognizing the banknote features,and then the specific areas on different currencies and denomination banknotes are obtained according to the recognition results.Secondly,the characteristic information of corresponding photoelectric signals is obtained according to the specific areas,and the cumulative components and differential errors of the acquisition system are calculated based on the characteristic information.Finally,the total correction is calculated according to the cumulative components and differential errors.And it is updated to the correction unit to realize the adaptive correction of the banknote image acquisition system.
作者
刘梦涛
LIU Meng-tao(GRGBanking Equipment Co.,Ltd,Guangzhou Guangdong 510663)
出处
《数字技术与应用》
2019年第2期86-88,共3页
Digital Technology & Application
关键词
图像采集系统
多光谱钞票识别
累积误差修正
自适应补偿
image acquisition system
multispectral banknote recognition
cumulative error correction
adaptive compensation