基于自适应旋转和逼近的圆密封识别方法

2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS) Pub Date : 2017-06-01 DOI:10.1109/EIIS.2017.8298682

Wenli Liu, Guowei Yang, Changhong Li

{"title":"基于自适应旋转和逼近的圆密封识别方法","authors":"Wenli Liu, Guowei Yang, Changhong Li","doi":"10.1109/EIIS.2017.8298682","DOIUrl":null,"url":null,"abstract":"Circular seal identification based on template matching, as a classic algorithm, has two own shortcomings. The first is that it is invalid to seal with rotation angle. The second is that the algorithm is complex. In view of this two shortcomings, the seal identification based on adaptive rotation and approximation is proposed. To solve the first question, circular seal is recognized by matching between the template adaptively rotating about central point and test seal. To solve the next question, the correlation between template and test seal is obtained by calculating the correlation of Boolean of their binary image. Experimental results show that the new algorithm effectively solve the two shortcomings of seal identification based on template matching.","PeriodicalId":434246,"journal":{"name":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification method of circular seal based on adaptive rotation and approximation\",\"authors\":\"Wenli Liu, Guowei Yang, Changhong Li\",\"doi\":\"10.1109/EIIS.2017.8298682\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Circular seal identification based on template matching, as a classic algorithm, has two own shortcomings. The first is that it is invalid to seal with rotation angle. The second is that the algorithm is complex. In view of this two shortcomings, the seal identification based on adaptive rotation and approximation is proposed. To solve the first question, circular seal is recognized by matching between the template adaptively rotating about central point and test seal. To solve the next question, the correlation between template and test seal is obtained by calculating the correlation of Boolean of their binary image. Experimental results show that the new algorithm effectively solve the two shortcomings of seal identification based on template matching.\",\"PeriodicalId\":434246,\"journal\":{\"name\":\"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EIIS.2017.8298682\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EIIS.2017.8298682","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

基于模板匹配的圆形印章识别作为一种经典算法，存在着两大不足。一是旋转角度密封无效。二是算法复杂。针对这两个缺点，提出了一种基于自适应旋转和近似的密封识别方法。为了解决第一个问题，通过自适应绕中心点旋转的模板与试验密封的匹配来识别圆密封。为了解决下一个问题，通过计算模板和测试密封二值图像的布尔相关性，得到模板和测试密封之间的相关性。实验结果表明，新算法有效地解决了基于模板匹配的印章识别的两个缺点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Identification method of circular seal based on adaptive rotation and approximation

Circular seal identification based on template matching, as a classic algorithm, has two own shortcomings. The first is that it is invalid to seal with rotation angle. The second is that the algorithm is complex. In view of this two shortcomings, the seal identification based on adaptive rotation and approximation is proposed. To solve the first question, circular seal is recognized by matching between the template adaptively rotating about central point and test seal. To solve the next question, the correlation between template and test seal is obtained by calculating the correlation of Boolean of their binary image. Experimental results show that the new algorithm effectively solve the two shortcomings of seal identification based on template matching.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS)

自引率

0.00%

发文量