Document Image Segmentation for Compression

Persian Printed Document Analysis and Page Segmentation

This paper presents, a hybrid method, low-resolution and high-resolution, for Persian page segmentation. In the low-resolution page segmentation, a pyramidal image structure is constructed for multiscale analysis and segments document image to a set of regions. By high-resolution page segmentation, by connected components analysis, each region is segmented to homogeneous regions and identifyi...

Document Analysis And Classification Based On Passing Window

In this paper we present Document analysis and classification system to segment and classify contents of Arabic document images. This system includes preprocessing, document segmentation, feature extraction and document classification. A document image is enhanced in the preprocessing by removing noise, binarization, and detecting and correcting image skew. In document segmentation, an algorith...

Markov Random Field Model Based Text Segmentation and Image Post Processing of Complex Scanned Documents

Haneda, Eri Ph.D., Purdue University, May 2011. Markov Random Field Model Based Text Segmentation and Image Post Processing of Complex Scanned Documents. Major Professor: Charles A. Bouman. In this dissertation, two image processing studies will be presented. The first study is segmentation for MRC document compression using an MRF model, and the second study is an automatic contrast enhancemen...

Document Image Segmentation for Document Compression

Document compression using rate-distortion optimized segmentation

Effective document compression algorithms require that scanned document images be first segmented into regions such as text, pictures, and background. In this paper, we present a multilayer compression algorithm for document images. This compression algorithm first segments a scanned document image into different classes, then compresses each class using an algorithm specifically designed for t...

Multilayer Document Compression Algorithm

In this paper, we propose a multilayer document compression algorithm. This algorithm first segments a scanned document image into different classes such as text, images and background, then compresses each class using an algorithm specifically designed for that class. Two algorithms are investigated for segmenting documents: a general purpose image segmentation algorithm called the trainable s...