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书目名称Graphics Recognition. Methods and Applications影响因子(影响力)




书目名称Graphics Recognition. Methods and Applications影响因子(影响力)学科排名




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书目名称Graphics Recognition. Methods and Applications网络公开度学科排名




书目名称Graphics Recognition. Methods and Applications被引频次




书目名称Graphics Recognition. Methods and Applications被引频次学科排名




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书目名称Graphics Recognition. Methods and Applications年度引用学科排名




书目名称Graphics Recognition. Methods and Applications读者反馈




书目名称Graphics Recognition. Methods and Applications读者反馈学科排名

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Verification-based approach for automated text and feature extraction from raster-scanned maps,oach builds on SRI International‘s (SRI‘s) verification-based computer vision and character recognition methodologies. The approach can also be applied to other types of documents containing a mix of text and graphics, such as engineering drawings, electrical schematics, and technical illustrations.

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https://doi.org/10.1007/978-1-4612-4208-6se of these algorithms in the application domain of document processing: decomposition of digital lines into meaningful parts. The stability of the decompositions obtained according to simple rules, within given classes of lines, is assumed as a performance index. Experimental results, obtained usin

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https://doi.org/10.1007/978-981-13-6958-2ted, nor the advantages and disadvantages of each method have been investigated. As a case study of performance evaluation of image processing algorithms, this report describes the results of comparing 11 dominant point detection methods, from two aspects: (1) invariance of the set of detected point

Derogate

https://doi.org/10.1007/978-1-4757-5922-8ion of horizontal lines in an interactive drawing conversion system for telephone company drawings. At the core of the algorithm are the processes of filtering run lengths, assembling filtered run lengths, generating top silhouette, and thresholding the gradient of the top silhouette to extract one

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