A Classification Architecture Based on Connected Components for Text Detection in Unconstrained Environments

Authors:
Luca Zini;Augusto Destrero;Francesca Odone
Affiliations:
-;-;-
Venue:
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Year:
2009

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Abstract

The paper presents a method for efficient text detection in unconstrained environments, based on image featuresderived from connected components and on a classification architecture implementing a focus of attention approach.The main application motivating the work is container code detection with the final goal ofchecking freight trains composition. Although the method is strongly influenced by the applicationexperimental evidence speaks in favour of its generality: we present results on container codes, car plates images andon the benchmark dataset ICDAR.