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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 paper build upon previous works on Word Shape...
This paper reports a statistical script identification technique that determines the script of document images, especially camera-based images which suffer from perspective distortion. The identification technique represents a document image by a frequency vector of affine invariant signatures of characters, and identifies the script by comparing the vector with pre-prepared script templates. Experimental...
In order to capture the content of an imaged document but avoid the time-consuming full-scale OCR which is fragile to handle touching characters, a fast and segmentation- free keyword spotting method is proposed in this paper. The keyword spotting method is based on word shape coding technique. The proposed coding scheme has little ambiguity, and can be swiftly executed. It is a promising technique...
Categorization of imaged documents is a useful technique for building document image based digital libraries. This paper investigates techniques to improve categorization accuracy on OCR text, particularly that of biomedical imaged documents. Experiments with different feature selection methods were run to explore their effect on the categorization performance. The result shows that document frequency...
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