title: Architecture for Text Sign Localization and Recognition
creator: Romero Blanco, Arturo
creator: Moreno Pimentel, José Mariano
creator: Fernández Martínez, Fernando
creator: Montero Martínez, Juan Manuel
creator: San Segundo Hernández, Rubén
subject: Telecommunications
subject: Computer Science
description: This paper describes a low complexity strategy for detecting and recognizing text signs automatically. Traditional approaches use large image algorithms for detecting the text sign, followed by the application of an Optical Character Recognition (OCR) algorithm in the previously identified areas. This paper proposes a new architecture that applies the OCR to a whole lightly treated image and then carries out the text detection process of the OCR output. The strategy presented in this paper significantly reduces the processing time required for text localization in an image, while guaranteeing a high recognition rate. This strategy will facilitate the incorporation of video processing-based applications into the automatic detection of text sign similar to that of a smartphone. These applications will increase the autonomy of visually impaired people in their daily life.
publisher: E.T.S.I. Telecomunicación (UPM)
rights: https://creativecommons.org/licenses/by-nc-nd/3.0/es/
date: 2012
type: info:eu-repo/semantics/conferenceObject
type: Presentation at Congress or Conference
source: VII Jornadas en Tecnología del Habla and III Iberian SLTech Workshop | VII Jornadas en Tecnología del Habla and III Iberian SLTech Workshop | 21/11/2012 - 22/11/2012 | Madrid, Spain
type: PeerReviewed
format: application/pdf
language: eng
rights: info:eu-repo/semantics/openAccess
identifier: https://oa.upm.es/20713/