Linlin Li

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This paper presents a document retrieval technique that is capable of searching document images without OCR (optical character recognition). The proposed technique retrieves document images by a new word shape coding scheme, which captures the document content through annotating each word image by a word shape code. In particular, we annotate word images by(More)
With large databases of document images available, a method for users to find keywords in documents will be useful. One approach is to perform Optical Character Recognition (OCR) on each document followed by indexing of the resulting text. However, if the quality of the document is poor or time is critical, complete OCR of all images is infeasible. This(More)
A common problem encountered in recognizing real-scene symbols is the perspective deformation. In this paper, a recognition method resistant to perspective deformation is proposed, based on Cross-Ratio Spectrum descriptor. This method shows good resistance to severe perspective deformation and good discriminating power to similar symbols.
Document scripts and document orientations are important information for the document digitalization. Prior work has been reported to identify document scripts and document orientations, whereas most reported methods are very sensitive to document skew and low image resolution. This paper reports a document script and document orientation identification(More)
Patent document images maintained by the U.S. patent database have a specific format, in which figures and text descriptions are separated into different sections. This makes it difficult for users to refer to a figure while reading the description or vice versa. This paper introduces a method to associate figures with corresponding description paragraphs,(More)