Extracting card data from multiple cards
US-2015371086-A1 · Dec 24, 2015 · US
US9104940B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9104940-B2 |
| Application number | US-201314015048-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 30, 2013 |
| Priority date | Aug 30, 2013 |
| Publication date | Aug 11, 2015 |
| Grant date | Aug 11, 2015 |
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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.
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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…
Physics · mapped topic
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