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Title:
スキャンされた文書画像内の前景画素群の連結グループをマーキング種類に基づき分類する方法及びシステム
Document Type and Number:
Japanese Patent JP5379085
Kind Code:
B2
Abstract:
Methods and systems for classifying markings on images in a document are undertaken according to marking types. The document containing the images is supplied to a segmenter which breaks the images into fragments of foreground pixel structures that are identified as being likely to be of the same marking type by finding connected components, extracting near-horizontal or -vertical rule lines and subdividing some connected components to obtain the fragments. The fragments are then supplied to a classifier, where the classifier provides a category score for each fragment, wherein the classifier is trained from the groundtruth images whose pixels are labeled according to known marking types. Thereafter, a same label is assigned to all pixels in a particular fragment, when the fragment is classified by the classifier.

Inventors:
Platik sirker
Eric Sound
Application Number:
JP2010156620A
Publication Date:
December 25, 2013
Filing Date:
July 09, 2010
Export Citation:
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Assignee:
Palo Alto Research Center Incorporated
International Classes:
G06T7/40; G06V30/144; G06V30/10
Domestic Patent References:
JP2007193446A
JP200672839A
JP200469698A
JP2008171411A
Attorney, Agent or Firm:
Patent Corporation yki International Patent Office