Most of the methods on handwritten recognition in the literature are focused and evaluated
on Black and White (BW) image databases. In this paper we try to answer a fundamental …

Due to the cursive-ness and high variability of Persian scripts, the segmentation of
handwritten words into sub-words is still a challenging task. These issues could be …

The present paper introduces an efficient algorithm to detect and extract lines in Persian
handwritten text images. The proposed approach first calculates the projection profiles …

In this paper we address the issue of recognizing Farsi handwritten words. Two types of
gradient features are extracted from a sliding vertical stripe which sweeps across a word …

In this paper we address the problem of recognizing Farsi handwritten words. We extract two
types of features from vertical stripes on word images: chain-code of word boundary and …

Most of the methods on handwritten digit recognition in the literature are focused and
evaluated on black and white image databases. In this paper we try to answer a …

The aim of word spotting, as a particular case of semantic content based image retrieval
(CBIR), is to find instances of a word query given as an image or text (string) in a document …

The goal of word image retrieval and word spotting, as a particular case of semantic content
based image retrieval (CBIR) is to find image or text (string) query word in a dataset of …