A Window-Based Feature Extraction Method in Document Copy Detection

Document copy detection is an important tool to protect author´s intellectual property and to improve efficiency of digital library. It uses the extracted text features to identify copying between documents, therefore the feature extrac- tion method crucially affects the performance of a document copy detection system. This paper introduces a window- based feature extraction method and makes three contribu- tions: it can identify any matches of a certain length; it can produce the describing information where overlap occurs between documents; it can provide the results with different precision. We report the experimental result that validates the behaviors and properties of the proposed method.