Localization is the process of translating the text and adapting the visual content of a software product for a specific target region. Given the global nature of the economy, organizations can appeal to nonEnglish speaking consumers by offering localized versions of their software or web application. Currently, the localization process calls for time-consuming and costly translations of text s...

We developed a scene text recognition system with active vision capabilities, namely: auto-focus, adaptive aperture control and auto-zoom. Our localization system is able to delimit text regions in images with complex backgrounds, and is based on an attentional cascade, asymmetric adaboost, decision trees and Gaussian mixture models. We think that text could become a valuable source of semantic...

This study is to investigate the short- and long-run causal relationship between agglomeration (localization and urbanization) economies and labor productivity in the manufacturing sector of 28 Iranian provinces over an 11-year period, 2001–2011. Fully Modified Ordinary Least Squares (FMOLS) method was used to estimate our long-run panel data model. The empirical findings suggested that localiz...

We propose a system that reads the Kannada text encountered in natural scenes with the aim to provide assistance to the visually impaired persons of Karnataka state. This paper describes the system design and standard deviation based Kannada text extraction method. The proposed system contain three main stages text extraction, text recognition and speech synthesis. This paper concentrated on te...

A method for the automatic localization of text embedded in complex images is proposed. It permits to detect the spatial position and the skew of the text lines which are present in the scene and to return a binary representation of each text line. Strenghts of the algorithm are independece of text skew and of presence of connected text. After a preprocessing step the input image is segmented i...

The objective of this study is to propose a new method for text region localization and character extraction in natural scene images with complex background. In this paper, a hybrid methodology is suggested which extracts multilingual text from natural scene image with cluttered backgrounds. The proposed approach involves four steps. First, potential text regions in an image are extracted based...

Semi-solid materials undergo strain localization and shear band formation as a result of granular nature of semi-solid deformation. In the present study, to analyze the shear localization, a unified viscoplastic constitutive model was developed for the homogeneous flow. Then, a linearized analysis of the stability performed by examining the necessary condition for the perturbation growth. For t...

Text Extraction from colour images is a challenging task in computer vision. The concept of text extraction is derived from the vehicle plate recognization and their characters extractions individually. Some examples of the applications are automatic image indexing, visual impaired people assistance or optical character reading, keyword searching in a document image. The continuous research has...

We propose a novel Connectionist Text Proposal Network (CTPN) that accurately localizes text lines in natural image. The CTPN detects a text line in a sequence of fine-scale text proposals directly in convolutional feature maps. We develop a vertical anchor mechanism that jointly predicts location and text/non-text score of each fixed-width proposal, considerably improving localization accuracy...