The automatic detection of text within a natural image is an important problem in many applications. Text detection in natural images has gained much attention in the last years as it is a primary step towards fully autonomous text recognition. It needs to be fast, efficient and robust in order to feed an OCR classifier with the correct input. In other words, segmented regions must correspond t...

Arabic is one of the languages th challenges to Optical character recognition ( challenge in Arabic is that it is mostly curs segmentation process must be carried out character’s start and end. This step is essen recognition. This paper presents Ar segmentation algorithm. The proposed alg projection-based approach concepts to separ and characters. This is done using profile's and simple edge to...

The National Library of Medicine has developed a system for the automatic extraction of data from scanned journal articles to populate the MEDLINE database. Although the 5-engine OCR system used in this process exhibits good performance overall, it does make errors in character recognition that must be corrected in order for the process to achieve the requisite accuracy. The correction process ...

In structural character recognition, a character is usually viewed as a set of strokes and the spatial relationships between them. In this paper, we propose a stochastic modeling scheme by which strokes as well as relationships are represented by utilizing the hierarchical characteristics of target characters. Based on the proposed scheme, a handwritten Hangul (Korean) character recognition sys...

A script independent character segmentation from word images technique has been reported here. Word to character segmentation is an important preprocessing step of optical character recognition process. But in case of handwritten text, presence of touching characters decreases the accuracy of the technique of the segmentation of the characters from the word. In this paper, segmentation of handw...

In this paper, the visual feature space based on the long Horizontals, the long Verticals, and the radicals are given. An adaptive combination of classifiers, whose coefficients vary with the input pattern, is also proposed. Experiments show that the approach is promising for character recognition in video sequences.

The goal to produce effective Optical Character Recognition (OCR) methods has lead to the development of a number of algorithms. The purpose of these is to take the hand-written or printed text and to translate it into a corresponding digital form. The multitude requirements and developments are well represented in the literature (see for example Abuhaiba [1] and Suen [2]). The primary objectiv...

The Amharic language is the principal language of over 20 million people mainly in Ethiopia. An extensive literature survey reveals no journal or conference papers on Amharic character recognition. The Amharic script has 33 basic characters each with seven orders giving 231 distinct characters, not including numbers and punctuation symbols. The characters are cursive but not connected and unlik...

lation, does not produce a sufficient clean differ'4B-m ence image for text recognition. In analogy to this subtraction we propose the The proposed method has the aim to name 'symbolic subtraction' for our new separate the filled in (typed or handwritten) approach in this paper: the 'symbolic difference' information in a form, from the fixed preprinted Sym(FF)-Sym(BF) means the recognition of t...

In the studies of Korean character recognition, the classification of characters by their structural types has been the most common approach; Korean characters have 6 different structural types and are written with 24 letters of the Korean alphabet in rectangular shapes. Because of this structural characteristic of Korean characters, most conventional approaches first classify the structural ty...