Based on wavelets, a new theoretical method has been developed to process form documents. In this method, two-dimensional multiresolution analysis (MSA), wavelet decomposition algorithm, and compactly supported orthon...
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The proceedings contain 270 papers. The topics discussed include: name and address block reader system for tax form processing;cursive script recognition applied to the processing of bank cheques;cursive script recogn...
ISBN:
(纸本)0818671289
The proceedings contain 270 papers. The topics discussed include: name and address block reader system for tax form processing;cursive script recognition applied to the processing of bank cheques;cursive script recognition applied to the processing of bank cheques;handwritten wordrecognition for real-time applications;multi-lingual, multi-font and multi-size large-set character recognition using self-organizing neural network;off-line recognition of Korean scripts using distance matching and neural network classifiers;a new type of recurrent neural network for handwritten character recognition;a theory of classifier combination: the neural network approach;hierarchical neural network for recognizing hand-written characters in engineering drawings;bibliography references validation using emergent architecture;and a framework for validating recognized results in understanding table-form document images.
The proceedings contain 270 papers. The topics discussed include: name and address block reader system for tax form processing;cursive script recognition applied to the processing of bank cheques;cursive script recogn...
ISBN:
(纸本)0818671289
The proceedings contain 270 papers. The topics discussed include: name and address block reader system for tax form processing;cursive script recognition applied to the processing of bank cheques;cursive script recognition applied to the processing of bank cheques;handwritten wordrecognition for real-time applications;multi-lingual, multi-font and multi-size large-set character recognition using self-organizing neural network;off-line recognition of Korean scripts using distance matching and neural network classifiers;a new type of recurrent neural network for handwritten character recognition;a theory of classifier combination: the neural network approach;hierarchical neural network for recognizing hand-written characters in engineering drawings;bibliography references validation using emergent architecture;and a framework for validating recognized results in understanding table-form document images.
This paper investigates graph rewriting as a tool for high-level recognition of two-dimensional mathematical notation. "High-level recognition " is the process of determining the meaning of a diagram from th...
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Neural networks have been successfully applied to various pattern classification problems owing to their learning ability, high discrimination power, and excellent generalization ability. However, for the case of clas...
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A method is dEveloped to extract lines from pages of handwritten text by finding the shortest spanning tree of a graph formed from the set of main strokes. Main strokes of extracted lines are arranged in the same orde...
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In this paper, a simple and robust algorithm is presented to detect skew in a totally unconstrained document. It can discover the skew angle not only in the whole page of document but also in different document blocks...
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Generally speaking, through the binarization of gray-scale images, useful information for the segmentation of touching or overlapping characters may be lost. If we analyze gray-scale images, however, specific topograp...
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In this paper we describe a top-down clustering method consisting of an intra class step and an inter class step. In the intra class step all the samples for each category are initially divided into a small number of ...
This research explores the interaction of textual and photographic information in an integrated text/image database environment. Specifically, We present a content-based retrieval system for captioned group photograph...
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