Advanced topics in character recongition and document analysis: research works in intelligent image and document research lab, Tsinghua University

Abstract

Character Recognition and Document Retrieval still are very interesting research area although great progress in performance has been made over the last decades. Advanced research topics in character recognition and Document analysis are introduced in this paper, which include the further research in Tsinghai University on handwritten Chinese character recognition, multilingual character recognition and writer identification. In handwritten Chinese character recognition a special cascade MQDF classifier is discussed for unconstrained cursive handwritten Chinese Character recognition and an optimum handwritten strip recognition algorithm is introduced. In writer identification content dependent and content independent algorithms are discussed. In multilingual character recognition a THOCR multilingual, including Japanese, Korean, Tibetan, Mongolian, Uyghur, Arabic document recognition system is introduced in this paper.