SCALABLE STRUCTURE LEARNING VIA CONTEXT-FREE RECURSIVE DOCUMENT DECOMPOSITION

摘要

An approach is provided in which a document is converted into a bitmap image and the processing method aggregates a set of pixel values from the bitmap image into a set of row sum values and a set of column sum values. The bitmap image being a pixelated representation of the document. The approach applies a localized Fourier transform to the set of row sum values and the set of column sum values to generate frequency representations of the set of row sum values and the set of frequency sum values. The approach decomposes the bitmap image into a set of image portions based on at least one separation location identified in the set of frequency representations, and sends the set of image portions to a text recognition system.