Abstract
An algorithm for extracting character strings from color documents is described. Most characters on color documents are printed with the same color and font size at every word or text line. The blobs of pixels which have similar color are extracted by a clustering in a color space. Although these blobs are correspond to characters or background patterns, they can be discriminated by using the features of sizes, aspect ratios and pitches of the circumscribing rectangles of the blobs. Some experimental results are also presented and show our algorithm is applicable to color document OCR.
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