Image binarization plays major role for document image binarization. Scanning and printing of documents can degrades their visibility that makes difficult to understand them. This paper has proposed a new technique which has ability to binarized documents in efficient manner. In the proposed method, a phase-based binarization model for document images is proposed, as well as a post processing m...

The key question for any image retrieval approach is how to represent the images. We are exploring a new image context vector representation that avoids the need for full image understanding. This representation: • is invariant with respect to translation and scaling of (whole) images, • is robust with respect to translation, scaling, small rotations, and partial occlusions of objects within im...

Skew detection is an important stage of document image processing. It is desirable t o have a fast, all-purpose skew detector. This paper describes a fast skew detector using directional profile analysis. It can quickly and accurately detect skew on a wide variety of document images, including images with multiple text alignments and nontext regions. The complexity of the skew detection process...

one of the complex documents in the real world is city maps. in these kinds of maps, text labels overlap by graphics with having a variety of fonts and styles in different orientations. usually, text and graphic colour is not predefined due to various map publishers. in most city maps, text and graphic lines form a single connected component. moreover, the common regions of text and graphic lin...

This paper analyzes the problems of document image recognition and existing solutions. Document algorithms have been studied for quite a long time, but despite this, currently, topic is relevant research continues, as evidenced by large number associated publications reviews. However, most these works reviews are devoted to individual tasks. In this review, entire set methods, approaches, neces...