{"title":"基于最小二乘法的二维条码偏斜校正方法","authors":"Bo Chen, Zhi Liu, Xiaohui Xu","doi":"10.1109/ICDIP.2009.45","DOIUrl":null,"url":null,"abstract":"In general, the scanned image of two dimension barcode is usually skew. In order to recognize two dimension barcode correctly, the skew angle of two dimension barcode must be detected and corrected firstly. In this paper, the edge profile of two dimension barcode is extracted and the feature points are saved at first. Then the Least Square Methods is used to synthesize these features points to a straight line in order to get the skew angle and correct them. Experimental results show that this algorithm is fast and strong anti-noise. The identification and recognition rate for the two-dimension barcode is increased effectively.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"1015 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Skew Correcting Method for Two Dimension Bar Code Based on Least Square Methods\",\"authors\":\"Bo Chen, Zhi Liu, Xiaohui Xu\",\"doi\":\"10.1109/ICDIP.2009.45\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In general, the scanned image of two dimension barcode is usually skew. In order to recognize two dimension barcode correctly, the skew angle of two dimension barcode must be detected and corrected firstly. In this paper, the edge profile of two dimension barcode is extracted and the feature points are saved at first. Then the Least Square Methods is used to synthesize these features points to a straight line in order to get the skew angle and correct them. Experimental results show that this algorithm is fast and strong anti-noise. The identification and recognition rate for the two-dimension barcode is increased effectively.\",\"PeriodicalId\":206267,\"journal\":{\"name\":\"2009 International Conference on Digital Image Processing\",\"volume\":\"1015 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-03-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Digital Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDIP.2009.45\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Digital Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDIP.2009.45","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Skew Correcting Method for Two Dimension Bar Code Based on Least Square Methods
In general, the scanned image of two dimension barcode is usually skew. In order to recognize two dimension barcode correctly, the skew angle of two dimension barcode must be detected and corrected firstly. In this paper, the edge profile of two dimension barcode is extracted and the feature points are saved at first. Then the Least Square Methods is used to synthesize these features points to a straight line in order to get the skew angle and correct them. Experimental results show that this algorithm is fast and strong anti-noise. The identification and recognition rate for the two-dimension barcode is increased effectively.
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