Dori et al., 1998 - Google Patents
Segmentation and recognition of dimensioning text from engineering drawingsDori et al., 1998
View PDF- Document ID
- 4210216330848911110
- Author
- Dori D
- Velkovitch Y
- Publication year
- Publication venue
- Computer Vision and Image Understanding
External Links
Snippet
Recognition of dimensioning text in engineering drawings is an essential part of the drawing understanding process, as this text provides the exact dimensions and tolerances of the object described in the drawing. We consider engineering drawings produced according to …
- 230000011218 segmentation 0 title abstract description 14
Classifications
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- G06K9/00442—Document analysis and understanding; Document recognition
- G06K9/00463—Document analysis by extracting the geometrical structure, e.g. layout tree; Block segmentation, e.g. bounding boxes for graphics, paragraphs, words or letters
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06K9/20—Image acquisition
- G06K9/34—Segmentation of touching or overlapping patterns in the image field
- G06K9/342—Cutting or merging image elements, e.g. region growing, watershed, clustering-based techniques
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- G06K9/46—Extraction of features or characteristics of the image
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- G06K9/2054—Selective acquisition/locating/processing of specific regions, e.g. highlighted text, fiducial marks, predetermined fields, document type identification
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- G06K9/00469—Document understanding by extracting the logical structure, e.g. chapters, sections, columns, titles, paragraphs, captions, page number, and identifying its elements, e.g. author, keywords, ZIP code, money amount
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
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