Abstract
In this paper, we present a method to extract the inscription area in Traditional Chinese Painting (TCP) images. Our proposed algorithm analyzes the existing text extraction algorithms for natural image and combines the features of inscription in the TCP images. The first step is to extract the ink area in TCP images. The second step is to select the connected area within the scope. The third step is to detect and label the corner points. The last step is to extract the inscription area by using the information of seal and corner points in the TCP image. 1000 images are used in our experiments to verify the effectiveness of the proposed algorithm. Experimental results are provided to demonstrate the effectiveness of the proposed method on our image set.
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