Content-Based Chinese Antique Books Retrieval Through Visual Similarity Criteria
基于视觉相似性的中文古籍内容检索方法

The application of digitized civilization legacy plays an important role in the digital library project. Due to the intrinsic handwritten nature, it lacks effective mechanisms to perform content retrieval on digitized Chinese antique books. In this paper, an original method for content retrieval based on visual similarity is proposed and some key techniques are studied. By extracting morphological, positional and page features from images, the method makes up a feature space and applies spatial indexing to it. A range searching strategy is then employed to get all analogs to the query sample. In addition, a precision parameter is defined to dynamically adjust the mapping from morphological feature to semantics, and a constraint verifying technique is developed to improve the overall precision. The operational prototypical system demonstrates its fesibility and gets the effectiveness of automatic content-based retrieval directly on page images.