Chao-Chung Peng, Bo-Lin Jian, T. Wu, Chieh-Li Chen
{"title":"认证钢产品的标识","authors":"Chao-Chung Peng, Bo-Lin Jian, T. Wu, Chieh-Li Chen","doi":"10.1109/ICCE-TW.2015.7216917","DOIUrl":null,"url":null,"abstract":"A computer vision based recognition system is proposed to identify the mark of proofed steel product in this study. The identification process uses image processing with a template matching to locate and recognize marking letters and numbers. The two-dimensional Haar discrete wavelet transform (DWT) is used to achieve image pyramids, so that computational efficiency is improved significantly. The proposed auto-identification procedure can effectively adapted to different steel product according to a specified template.","PeriodicalId":340402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics - Taiwan","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mark identification of proofed steel products\",\"authors\":\"Chao-Chung Peng, Bo-Lin Jian, T. Wu, Chieh-Li Chen\",\"doi\":\"10.1109/ICCE-TW.2015.7216917\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A computer vision based recognition system is proposed to identify the mark of proofed steel product in this study. The identification process uses image processing with a template matching to locate and recognize marking letters and numbers. The two-dimensional Haar discrete wavelet transform (DWT) is used to achieve image pyramids, so that computational efficiency is improved significantly. The proposed auto-identification procedure can effectively adapted to different steel product according to a specified template.\",\"PeriodicalId\":340402,\"journal\":{\"name\":\"2015 IEEE International Conference on Consumer Electronics - Taiwan\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Consumer Electronics - Taiwan\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE-TW.2015.7216917\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Consumer Electronics - Taiwan","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE-TW.2015.7216917","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A computer vision based recognition system is proposed to identify the mark of proofed steel product in this study. The identification process uses image processing with a template matching to locate and recognize marking letters and numbers. The two-dimensional Haar discrete wavelet transform (DWT) is used to achieve image pyramids, so that computational efficiency is improved significantly. The proposed auto-identification procedure can effectively adapted to different steel product according to a specified template.
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