Plenty of natural language processing tasks can be modeled as text matching, such as question answering, machine translation and so on. An elementary and efficacious method is to distill matching patterns from words, phrases and sentences to obtain the matching score. In this paper, Reconstructed Color Interaction Image (RCII) is proposed to convert text matching to color image recognition. First, two texts are reconstructed and similarity operations are adopted to generate Color Interaction Image (CII). Then CNN is applied to extract hierarchical and elaborate matching information. Finally, fully connected layers are employed to obtain the matching score. Experiments have proved the effectiveness of our method.