Robust and fast text‐line extraction using local linearity of the text‐line

Abstract

SUMMARYText region extraction is a necessary process before character recognition is done for document images. This paper describes a new algorithm, Linear Segment Linking (LSL), for text-line extraction from document images. The algorithm groups together the piecewise linear elements in the document images, which may be assumed to be text lines, and then extracts them from the images. The algorithm requires less knowledge about document structure and is robust for distortion of the image. The primitive rectangles are introduced for the intermediate representation of image. It is easier and faster to create them than the usual circumscribing rectangles. A method of splitting the bridges between neighboring text lines is proposed. Combining the bridge splitting process with the text line extraction, the locally touching text lines will be extracted as individual ones.

Extraction of Text Region From Color Image Sequence of A Book Cover Containing Gilt Characters

“…One is called stroke width, which is defined as the non-unit runlength, the number of that runlength ap pears a peak in runlength histogram (3). As shown in Fig.…”

Extraction of Bibliography Information Based on Image of Book Cover

“…The blocks are obtained by smearing the image, so that adjacent connected components are merged into one block if the distance between them is less than the smearing threshold. 4,15 Because it is a rule that the space between letters is narrower than the width of a letter, 10 the smearing threshold varies dynamically with the local average label width.…”