ICME 2009, IEEE International Conference on Multimedia and Expo, June 28-July 3, 2009, New York, USA
This paper presents a graph based scheme for color text recognition in images and videos, which is particularly robust to complex background, low resolution or video coding artifacts. This scheme is based on a novel method named the image Text Recognition Graph (iTRG) composed of five main modules: an image text segmentation module, a graph connection builder module, a character recognition module, a graph weight calculator module and an optimal path search module. The first two modules are based on convolutional neural networks so that the proposed system automatically learns how to robustly perform segmentation and recognition. The proposed method is evaluated on the public ICDAR 2003 test word dataset.
Type:
Conférence
City:
New York
Date:
2009-06-28
Department:
Sécurité numérique
Eurecom Ref:
2879
Copyright:
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