标题:A neural network-hidden Markov model hybrid for laser etched characters recognition
作者:Chen, Wei ;Chen, Jing
通讯作者:Chen, W.
作者机构:[Chen, Wei ;Chen, Jing ] College of Automation and Electronics Engineering, Qingdao University of Science and Technology, Qingdao, China;[Chen, Wei ] 更多
会议名称:2010 3rd International Congress on Image and Signal Processing, CISP 2010
会议日期:16 October 2010 through 18 October 2010
来源:Proceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010
出版年:2010
卷:4
页码:1732-1734
DOI:10.1109/CISP.2010.5647770
关键词:Characters recognition; Hidden Markov models; Laser etched characters; Neural network; Three crossing points
摘要:A recognition method of laser etched characters based on Hidden Markov models and Neural Network is applied, which the structural properties and the relation of metal label characters are analyzed in detail. The endings, three crossing points, four crossing points of the characters are extracted, and it is improved on the method of extraction of three crossing points. A neural network is used to estimate probabilities for the characters depended on the structural properties, then deriving the best word choice from a sequence of state transition. It is shown in test that the proposed method can be used to recognize the etched characters on metal label. ©2010 IEEE.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-78650535654&doi=10.1109%2fCISP.2010.5647770&partnerID=40&md5=a57d055c6b2fea57024837b23074d199
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