TY  - CONF
SP  - 271
EP  - 280
UR  - https://oa.upm.es/20713/
T2  - VII Jornadas en Tecnología del Habla and III Iberian SLTech Workshop
TI  - Architecture for Text Sign Localization and Recognition
ID  - upm20713
N2  - 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.
M2  - Madrid, Spain
A1  - Romero Blanco, Arturo
A1  - Moreno Pimentel, José Mariano
A1  - Fernández Martínez, Fernando
A1  - Montero Martínez, Juan Manuel
A1  - San Segundo Hernández, Rubén
AV  - public
Y1  - 2012///
ER  -