Fast and applicable detection of scattered Chinese italic characters

Various algorithms of detecting italic characters are introduced and analyzed in detail. An algorithm of vertical and horizontal weighted normalized comparison is presented, which can find Chinese italic characters scattered in the documents rapidly by enlarging the differences of image features between normal and italic characters. Three collections, including character, string and document, are used to evaluate the algorithm. Various algorithms of detecting italic characters are tested and compared based on these collections. The experimental results demonstrate the proposed method is effective and applicable.