Abstract
In this paper, a movie title recognition system is proposed to extract the movie title from a movie poster and transform it into words. First, the title region in a poster image is located using gradient-conversion method, and then all character images in the region are segmented using the watershed approach. Next, two kinds of features about the texture and shape defined in the MPEG-7 specification are extracted to train an SVM classifier used in recognizing those character images into words. Finally, we employ PyEnchant on each word for spelling check or even spelling revision. The experimental results show that the correct rate of title recognition would reach 90%, if the title region in a poster image can be located and segmented successfully.
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