Description: ASTRoID 1
In the first step our text detection approach uses segmentation algorithm to segment a image into a set of connected components (CCs). The segmentation algorithm is based on the Canny edge detection and dilation methods.
In the second step CCs are described in terms of 49 features and machine learning algorithm (radial SVM) are then used to classify CCs as text or non-text.
In the third step each text CC is further processed in order to detect false positive CCs. This is done by character detection algorithm. Character detection algorithm uses MSER regions which are then described by HOG features and classified by radial SVM and polynomial SVM.

Darko Zelenika (Bosnia and Herzegovina) - Faculty of information studies, Novo mesto, Slovenia
Janez Povh (Slovenia) - Faculty of information studies, Novo mesto, Slovenia
Bernard Ženko (Slovenia) - Jožef Stefan Institute, Ljubljana, Slovenia