Research and Implementation of Signature Detection Based on Matching Algorithm
Errors such as wrong signature or upside down signature occur mostly during gathering in a bookbinding production line,and affect the quality of bookbinding.This paper presents a new algorithm for signature detection to detect these errors rapidly and accurately.The algorithm constructs scale space firstly by making use of pyramid method in morphology,then creates a region of interest by selecting a appropriate Pyramid image,extracts features from regions of interest,and make them matching templates,furthermore,filters the sample image and extracts the contour,finally selects the appropriate similarity coefficient for template matching,and obtain the matching results.This algorithm is implemented with MVtec Haclon software.Experiments show that the algorithm can anti-rotation,has strong robustness.The matching accuracy is 100%,meanwhile,the low time consumption of the algorithm can meet the demand of high-speed production.
Jie Shi YingJie Tang ShiBin Chen
School of Information Engineering,Beijing institute of Graphic Communication,Beijing,China
国际会议
上海
英文
1-6
2017-12-28（万方平台首次上网日期，不代表论文的发表时间）