With the development of deep learning technology, various structures and research methods for super-resolution restoration natural images document have been introduced. In particular, a number recent studies conducted developed in image using generative adversarial networks. Super-resolution is an ill-posed problem because some complex restraints, such as many high-resolution being restored sam...

This paper presents a document image processing system implemented on a set of parallel processors. A preprocessing stage is first used to correct skew from scanned document images. The corrected image is segmented and labelled in a two-step Minimum Containing Rectangle (MCR) detection stage. Text Block Filtering (TBF) is then done heuristically and the filtered blocks are submitted to a Multi-...

This paper presents the Madonne project, a French initiative to use document image analysis techniques for the purpose of preserving and exploiting heritage documents.

The paper presents a hierarchical object recognition system for document processing. It is based on a spatial tree structure representation and Bayesian framework. The image components are built up from lower level image components stored in a library. The tree representations of the objects are assembled from these components. A probabilistic framework is used in order to get robust behaviour....