Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Architecture for Text Sign Localization and Recognition
Year:2012
Research Areas
  • Electronic technology and of the communications,
  • Electric engineers, electronic and automatic (eil)
Information
Abstract
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 on 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.
International
Si
Congress
IberSpeech 2012
960
Place
Madrid, Spain
Reviewers
Si
ISBN/ISSN
84-616-1535-2
Start Date
21/11/2012
End Date
22/11/2012
From page
271
To page
280
VII Jornadas en Tecnología del Habla and III Iberian SLTech Workshop
Participants
  • Autor: Arturo Romero Blanco (UPM)
  • Autor: José Mariano Moreno Pimentel (UPM)
  • Autor: Fernando Fernandez Martinez (UPM)
  • Autor: Juan Manuel Montero Martinez (UPM)
  • Autor: Ruben San Segundo Hernandez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Tecnología del Habla
  • Departamento: Ingeniería Electrónica
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