Line segmentation method applicable to document images containing handwriting and printed text characters or skewed text lines

US9104940B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9104940-B2
Application numberUS-201314015048-A
CountryUS
Kind codeB2
Filing dateAug 30, 2013
Priority dateAug 30, 2013
Publication dateAug 11, 2015
Grant dateAug 11, 2015

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Abstract

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A text line segmentation method for a document image containing printed text and handwriting, or document image containing skewed lines or printed text. Connected component (CC) are obtained for the document, and their bounding boxes and centroids are calculated. The CCs are categorized into three categories based on bounding box sizes: small objects, regular text objects, and large objects involving handwriting. The centroids of regular text objects are used in a cluster analysis to find the vertical centers of the N text lines. Then, each CC is classified into one of the N lines based on the vertical distance between its centroid and the vertical centers of text lines, and copied into to a corresponding object board. Extra spaces are removed from the object boards to obtain the line segments. The large object involving handwriting will be classified into one of the lines but absent from other lines.

First claim

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What is claimed is: 1. A method for segmenting a binary document image containing multiple printed lines of text to obtain segmented lines of printed text, comprising: (a) performing a connected component analysis on the document image to generate a plurality of connected components; (b) computing a bounding box and centroid for each of the plurality of connected components; (c) based on heights of the bounding boxes of the connected components, categorizing the plurality of c…

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What does patent US9104940B2 cover?
A text line segmentation method for a document image containing printed text and handwriting, or document image containing skewed lines or printed text. Connected component (CC) are obtained for the document, and their bounding boxes and centroids are calculated. The CCs are categorized into three categories based on bounding box sizes: small objects, regular text objects, and large objects inv…
Who is the assignee on this patent?
Konica Minolta Lab Usa Inc
What technology area does this patent fall under?
Primary CPC classification G06V30/1478. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Aug 11 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).