This paper presents a new comprehensive database for isolated offline handwritten Farsi/Arabic numbers and characters for use in optical character recognition research. The database is freely available for academic use. So far no such a freely database in Farsi language is available. Grayscale images of 52,380 characters and 17,740 numerals are included. Each image was scanned from Iranian scho...

Displaying a document in Middle Eastern languages requires contextual analysis due to different presentational forms for each character of the alphabet. The words of the document will be formed by the joining of the correct positional glyphs representing corresponding presentational forms of the characters. A set of rules defines the joining of the glyphs. As usual, these rules vary from langua...

One of the common processes in the field of text mining is text classification.Because of the complex nature of Farsi language, words with separate parts and combined verbs, the most of text classification systems are not applicable to Farsi texts.K-Nearest Neighbors (KNN) is one of the most popular used methods for text classification and presents good performance in experiments on different d...

Entity profiling (EP) as an important task of Web mining and information extraction (IE) is the process of extracting entities in question and their related information from given text resources. From computational viewpoint, the Farsi language is one of the less-studied and less-resourced languages, and suffers from the lack of high quality language processing tools. This problem emphasizes th...

BACKGROUND This article is a report of psychometric testing of the Farsi version of Resources and Support for Chronic Illness Self-management (RSSM) scale. METHODS In this cross-sectional study, a convenience sample of 160 patients with type 2 diabetes, registered with the Charity Foundation for Special Diseases' team-focused diabetes clinic, were recruited (response rate=83.7%; n=134). Parti...

Classifier fusion may generate more accurate classification than each of the basic classifiers. Fusion is often based on fixed combination rules like the product, average etc. This paper presents decision templates as classifier fusion method for the recognition of the handwritten English and Farsi numerals (1-9). The process involves extracting a feature vector on well-known image databases. T...

FARSI HANDWRITTEN WORD RECOGNITION USING CONTINUOUS HIDDEN MARKOV MODELS AND STRUCTURAL FEATURES

This paper describes the University of Edinburgh’s spoken language translation (SLT) and machine translation (MT) systems for the IWSLT 2014 evaluation campaign. In the SLT track, we participated in the German↔English and English→French tasks. In the MT track, we participated in the German↔English, English→French, Arabic↔English, Farsi→English, Hebrew→English, Spanish↔English, and Portuguese-Br...

The paper describes our portable two-way speech-tospeech translation system using a completely eyesfree/hands-free user interface. This system translates between the language pair English and Iraqi Arabic as well as between English and Farsi, and was built within the framework of the DARPA TransTac program. The Farsi language support was developed within a 90-day period, testing our ability to ...

Identification of visual words and writings has long been one of the most essential and the most attractive operations in the field of image processing which has been studied since the last few decades and includes security, traffic control, fields of psychology, medicine, and engineering, etc. Previous techniques in the field of identification of visual writings are very similar to each other ...