Method for binarizing scanned document images containing gray or light colored text printed with halftone pattern

US8947736B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-8947736-B2
Application numberUS-94680110-A
CountryUS
Kind codeB2
Filing dateNov 15, 2010
Priority dateNov 15, 2010
Publication dateFeb 3, 2015
Grant dateFeb 3, 2015

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Abstract

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A method for binarizing a scanned document images containing gray or light colored text printed with halftone patterns. The document image is initially binarized and connected image components are extracted from the initial binary image as text characters. Each text character is classified as either a halftone text character or a non-halftone text character based on an analysis of its topology features. The topology features may be the Euler number of the text character; a text character with a Euler number below −2 is classified as halftone text. The gray-scale document image is then divided into halftone text regions containing only halftone text characters and non-halftone text regions. Each region is binarized using its own pixel value statistics. This eliminates the influence of black text on the threshold values for binarizing halftone text. The binary maps of the regions are combined to generate the final binary map.

First claim

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What is claimed is: 1. A method implemented in a data processing apparatus for binarizing a gray-scale document image which has been generated by scanning a paper-based document, the method comprising: (a) identifying text characters in the gray-scale document image, including: performing an initial binarization of the gray-scale image to generate an initial binary image; and extracting connected image components in the initial binary image as text characters; (b) classifyi…

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What does patent US8947736B2 cover?
A method for binarizing a scanned document images containing gray or light colored text printed with halftone patterns. The document image is initially binarized and connected image components are extracted from the initial binary image as text characters. Each text character is classified as either a halftone text character or a non-halftone text character based on an analysis of its topology …
Who is the assignee on this patent?
Yu Songyang, Ming Wei, Konica Minolta Lab Usa Inc
What technology area does this patent fall under?
Primary CPC classification H04N1/40062. Mapped technology areas include Electricity.
When was this patent published?
Publication date Tue Feb 03 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).