Title :
A Classification Architecture Based on Connected Components for Text Detection in Unconstrained Environments
Author :
Zini, Luca ; Destrero, Augusto ; Odone, Francesca
Author_Institution :
DISI, Univ. Degli Studi di Genova, Genova, Italy
Abstract :
The paper presents a method for efficient text detection in unconstrained environments, based on image features derived 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 of checking freight trains composition. Although the method is strongly influenced by the application experimental evidence speaks in favour of its generality: we present results on container codes, car plates images and on the benchmark dataset ICDAR.
Keywords :
feature extraction; image classification; image segmentation; object detection; text analysis; ICDAR; car plate image; checking freight train composition; classification architecture; container code detection; extract connected component; image feature extraction; image segmentation; text detection; unconstrained environment; Character recognition; Computer architecture; Containers; Error analysis; Focusing; Image segmentation; Layout; Monitoring; Shape; Surveillance; RLS; connected components; container codes detection; focus-of-attention classification; text detection;
Conference_Titel :
Advanced Video and Signal Based Surveillance, 2009. AVSS '09. Sixth IEEE International Conference on
Conference_Location :
Genova
Print_ISBN :
978-1-4244-4755-8
Electronic_ISBN :
978-0-7695-3718-4
DOI :
10.1109/AVSS.2009.39
