Letter recognition and handwritten processing is one of the major and open problems in Artificial Intelligent (AI) domain. This study introduces a method based on statistical and geometrical techniques to recognize handwritten digits and letters. These techniques use the fuzzy logic to create the vector curves. Inputs are online digits or letters and outputs are two arrays of slope and curvatur...

The random forest (RF) classifier is an ensemble classifier derived from decision tree idea. However the parallel operations of several classifiers along with use of randomness in sample and feature selection has made the random forest a very strong classifier with accuracy rates comparable to most of currently used classifiers. Although, the use of random forest on handwritten digits has been ...

In this research work, we propose to identify an imaginary line called baseline threading through the entire stretch of text-line, with reference to which the location of vertical extents of Persian characters could be accurately interpreted. Depending upon the curvedness of the handwritten Persian text-line the baseline also would be curved. In this research a novel piece-wise painting scheme ...

New kinds of documents such as handwritten online documents are emerging, which are produced by digital devices such as Tablet PC, personal handheld devices or digital paper coupled with digital pens. The rapid increase in the number of such handwritten online documents leads to mounting pressure on finding innovative solutions towards faster processing, indexing and retrieval of the documents ...

Writer identification is a process which aims to identify the writer of a given handwritten document. Its implementation is needed in applications such as forensic document analysis and document retrieval which involved the use of offline handwritten documents. With the recent advances of technology, the invention of digital pen and paper has extended the field of writer identification to cover...

Multilingual corpora are valuable resources for cross-language information retrieval and are available in many language pairs. However the Persian language does not have rich multilingual resources due to some of its special features and difficulties in constructing the corpora. In this study, we build a Persian-English comparable corpus from two independent news collections: BBC News in Englis...

Transcription of handwritten words in historical documents is still a difficult task. When processing huge amount of pages, document centered approaches are limited by the trade-off between automatic recognition errors and the tedious aspect of human user annotation work. In this article, we investigate the use of inter page dependencies to overcome those limitations. For this, we propose a new...

A growing interest in the document analysis field is the recognition of old handwritten documents, towards the conversion into a readable format. The difficulties when working with old documents are increased, and other techniques are required for recognizing handwritten graphical symbols that are drawn in such these documents. In this paper we present a Dynamic Time Warping based method that o...