The reading of names and addresses is one of the most complex tasks in automated forms processing. This paper describes an integrated real-time system to read names and addresses on tax forms of the Internal Revenue S...
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This paper presents a novel method for table structure analysis. Many documents have table areas, and some have both table and figure areas. It is very important to be able to classify table and figure areas automatic...
Understanding software documents requires the logical structure analysis of diagrammatic notations, such as data flow diagrams. A data flow diagram (DFD) represents the functional dependencies within a system: It show...
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This paper presents a new approach to document analysis. The proposed approach is based on modified fractal signature. Instead of the time-consuming traditional approaches (top-down and bottom-up approaches) where ite...
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The authors have researched two-letter state name (state name abbreviation) recognition and full state name recognition. According to this research, they think that the accuracy of the character segmentation is essent...
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Well designed thesauri can represent semantic/conceptual knowledge so as to reveal relationships among different elements in documents, thus serving as a critical tool in intelligent text retrieval systems and documen...
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This paper presents a segmentation method that partly mimics the cognitive-behavioral process used by human subjects to recover motororal information from the image of a handwritten word. The approach does not exploit...
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A new method of reading the handwritten zip codes in the U.S. Postal Services CD-ROM database is presented. Zip code images are binarized, segmented and recognised. A recognition driven method for splitting multiple c...
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This paper presents the development of a real-time system for recognition of textured objects. In contrast to current approaches which mostly rely on specialized multiprocessor architectures for fast processing, we us...
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ISBN:
(纸本)3540606971
This paper presents the development of a real-time system for recognition of textured objects. In contrast to current approaches which mostly rely on specialized multiprocessor architectures for fast processing, we use a distributed network architecture to support parallelism and attain real-time performance. In this paper, a new approach to image matching is proposed as the basis of object localization and positioning, which involves dynamic texture feature extraction and hierarchical image matching. A mask based stochastic method is introduced to extract feature points for matching. Our experimental results demonstrate that the combination of texture feature extraction and interesting point detection provides a better solution to the search of the best matching between two textured images. Furthermore, such an algorithm is implemented on a low cost heterogeneous PVM (Parallel Virtual Machine) network to speed up the processing without specific hardware requirements.
This paper describes substantial advances in the analysis (parsing) of diagrams using constraint grammars. The addition of set types to the grammar and spatial indexing of the data make it possible to efficiently pars...
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