Document image understanding techniques have been widely used in many application domains. Various kinds of documents have been researched and different methods are developed for information retrieval purpose. In this paper we present a practical method to extract information items from Chinese business card. Before retrieval information in business card, the image of business card had been segmented into little text regions and each text region had been recognized. Because the typeset of business card is variable, and both English and Chinese characters are used, so there are errors in segmentation and recognition result. We focus on building a robust model that can tolerate errors and extract syntax pattern of each text lines in business card, which using both layout information and logical information. By this model, many errors will be identified and adjusted. Finally, correct property will be assigned to each text region in business card, and recognition errors will be corrected.