3. A method as described in claim 1 , wherein processing the training image to generate the set of image regions that correspond to the respective multiple text labels includes: determining candidate image regions for the set of image regions; and reducing a number of the determined candidate image regions using at least one post-processing technique.
4. A method as described in claim 3 , wherein the candidate image regions are determined using geodesic object proposal.