Automatic recognition of historical handwritten manuscripts is a daunting task due to paper degradation over time. Recognition-free retrieval or word spotting is popularly used for information retrieval and digitization of the historical handwritten documents. However, the performance of word spotting algorithms depends heavily on feature detection and representation methods. Although there exi...

In this paper we propose a summarization approach, nicknamed AZOM, that combines statistical and conceptual property of text and in regards of document structure, extracts the summary of text. AZOM is also capable of summarizing unstructured documents. Proposed approach is localized for Persian language but easily can apply to other languages. The empirical results show comparatively superior r...

In this paper we present an introduction to the Persian language and its morphology, and describe available resources for Persian text processing. We then propose and evaluate an information retrieval model, a variation of the vector space model which uses the relations existing between query terms. Our experiments on the Hamshahri collection show that the proposed model has better precision fo...

There are many types of documents where machine-printed and handwritten texts intermixedly appear. Since the optical character recognition (OCR) methodologies for machine-printed and handwritten texts are di€erent, to achieve optimal performance it is necessary to separate these two types of texts before feeding them to their respective OCR systems. In this paper, we present a machine-printed a...

One of the most important and challenging tasks in a handwritten recognition pipeline is the segmentation of handwritten document images into text lines and words. Several problems inherent in handwritten documents such as the difference in the skew angle between text lines or along the same text line, the existence of adjacent text lines or words touching, the existence of characters with diff...

The world heritage of handwritten Arabic documents is huge however only manual indexing and retrieval techniques of the content of these documents are available. To facilitate an automatic retrieval of such handwritten Arabic document, a number of automatic recognition systems for handwritten Arabic words have been proposed. Nevertheless, these systems suffer from low recognition accuracy due t...