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This paper introduces a binarization method based on edge for video text images, especially for images with complex background or low contrast. The binarization method first detects the contour of the text, and utilizes a local thresholding method to decide the inner side of the contour, and then fills up the contour to form characters that are recognizable to OCR software. Experiment results show...
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...
Perspective deformation is one of the main issues needed to be addressed in real-scene character recognition. An effective recognition approach, which is able to handle severe perspective deformation, is to employ cross ratio spectrum and dynamic time warping techniques. However, this solution suffers from a time complexity of O(n4). In this paper, a clustering based indexing method is proposed to...
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...
A common problem encountered in signboard recognition is the perspective distortion of characters. In this paper, we propose a method which is able to directly recognize characters under severe perspective distortion without perspective rectification. In this method, a character is represented by a sequence of cross ratio spectra, in which the perspective effect can be modeled as an one-dimensional...
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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