Character Segmentation-by-Recognition Using Log-Gabor Filters

Natural scene images coming usually from low-resolution sensors in embedded context suffer from low text recognition results. Due to several types of degradations, existing algorithms are not robust enough. In order to improve recognition, we present in this paper a character segmentation using log-Gabor filters to take advantage simultaneously of gray-level variation and spatial location. The recognition step is used to determine dynamically some of the parameters needed for the filter. Finally, several quantified results are presented to highlight the efficiency of this method against several issues