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Existing texts play an important role in understanding a scene image. Scene images differ from document images, which are composed of text characters of various size, shape, direction and situation along with complicated backgrounds, such as map, picture or painting, etc. Hence, the extraction of texts in scene images is a difficult as well as challenging task. Recently, mathematical morphology based algorithm finds applications to extract texts from scene images. In this paper we worked on a modified morphological filter to improve extraction accuracy. Due to insufficiency of a single threshold value, we have divided input images into different clusters depending on the size of texts.