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OCR error detection and correction of an inflectional Indian language script

OCR error detection and correction of an inflectional Indian...

引用

13th International Conference on pattern recognition, ICPR 1996

作者： Chaudhuri, B.B. Pal, U. Computer Vision and Pattern Recognition Unit Indian Statistical Institute Calcutta 35 India

ISBN: (纸本)081867282X

This paper deals with an OCR error detection and correction technique for a highly inflectional language script like Bangla (a major Indian language). This is the first report of its kind. Using two separate lexicons of root words and suffixes, candidate root-suffix pairs of each input word are detected, their grammatical agreement are tested and the root/suffix part in which the error has occurred is noted. The correction is made on the corresponding error part of the input string by a fast dictionary access technique. To do so some alternative strings are generated for an erroneous word. Among the alternative strings, those satisfying grammatical agreement in root-suffix and also having smallest Levenstein-Damerau distance are finally chosen as the correct ones. The system has an accuracy of 75.61%. © 1996 IEEE.

关键词： Error detection

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An MLP-based texture segmentation technique which does not require a feature set

An MLP-based texture segmentation technique which does not r...

引用

13th International Conference on pattern recognition, ICPR 1996

作者： Bhattacharya, U. Chaudhuri, B.B. Parui, S.K. Computer Vision and Pattern Recognition Unit Indian Statistical Institute Calcutta - 35 India

ISBN: (纸本)081867282X

In this paper we describe a texture segmentation approach without feature computation based on a multilayer perceptron network (MLP). Thus, the users need not bother about the selection and then computation of feature set and hence real-time segmentation may be possible. The basic motivation of the work is the fact that human vision does not consciously compute features for distinguishing different textures in a scene. A single hidden layer MLP network has been found to be most suitable with heuristically chosen input and hidden layer sizes. A method has been used to speedup the learning of the MLP network. The result of segmentation by a trained network usually results in misclassification in the form of speckles. For the removal of such noise an edge-preserving-noise- smoothing technique is proposed. The final segmentation accuracy is well comparable with that of other existing techniques. © 1996 IEEE.

关键词： pattern recognition

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Semi-automatic segmentation of tissue cells from confocal microscope images

Semi-automatic segmentation of tissue cells from confocal mi...

引用

13th International Conference on pattern recognition, ICPR 1996

作者： Adiga, P. S. Umesh Chaudhuri, B.B. Rodenacker, Karstein Computer Vision and Pattern Recognition Unit Indian Statistical Institute Calcutta 35 India Germany

ISBN: (纸本)081867282X

We present a semi-automatic method for extracting the 3D boundary of the cells in a compact tissue cross-section photographed by a confocal microscope. The confocal microscope provides pictures at different depths of the cells which can be considered as the image slices of the tissue section. Segmentation of cell boundary from different image slices and combining them to obtain 3D surface automatically is a difficult task. We have developed an approach where given one segmented image slice, the other image slices can be automatically segmented in a layered approach. The idea is to use the information of the previous segmented image slice for segmenting the current image slice. © 1996 IEEE.

关键词： Cells

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An efficient algorithm for detection of road-like structures in satellite images

An efficient algorithm for detection of road-like structures...

引用

13th International Conference on pattern recognition, ICPR 1996

作者： Mukherjee, A. Parui, S.K. Chaudhuri, D. Chaudhuri, B.B. Krishnan, R. Computer Vision and Pattern Recognition Unit Indian Statistical Institute Calcutta India Advanced Data Processing Research Institute Secunderabad India

ISBN: (纸本)081867282X

Road networks are important features of satellite imagery. The main contribution of the present road detection method consists of an effective enhancement technique and an efficient segmentation technique that removes non-road pixels step by step from the image where parameters involved: in each step images are determined by the sensor characteristics (like spatial resolution and spectral range) of the satellite. Also, the segmentation process depends not only on the road contrast but also on the road length. Thus, a low contrast but long road segment does not get removed. We have tested the algorithm on a number of images from IRS and SPOT satellites and the results are satisfactory. © 1996 IEEE.

关键词： Satellite imagery

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Skeletal shape extraction from dot patterns by self-organization

Skeletal shape extraction from dot patterns by self-organiza...

引用

13th International Conference on pattern recognition, ICPR 1996

作者： Datta, A. Parui, S.K. Chaudhuri, B.B. Computer and Statistical Service Centre Indian Statistical Institute Calcutta 700035 India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Calcutta 700035 India

ISBN: (纸本)081867282X

Extraction of skeletal shape from a 2D dot pattern is discussed. We use a self-organizing neural network model to get a piecewise linear approximation of a skeleton of the pattern. It is found that even without a proper definition of a skeleton, the proposed algorithm is able to produce skeletons that are quite close to what we intuitively feel it should be. In Kohonen's self-organizing model, the set of processors and their neighbourhoods are fixed. We suggest here some modifications of it in which the set of processors and their neighbourhoods change adaptively. © 1996 IEEE.

关键词： Neural network models

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OCR error detection and correction of an inflectional Indian language script

OCR error detection and correction of an inflectional Indian...

引用

International Conference on pattern recognition

作者： B.B. Chaudhuri U. Pal Computer Vision & Pattern Recognition Unit Indian Statistical Institute Calcutta India

关键词： Optical character recognition software Error correction Dictionaries computer errors Character recognition computer vision pattern recognition Testing Libraries Optical design

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An MLP-based texture segmentation technique which does not require a feature set

An MLP-based texture segmentation technique which does not r...

引用

International Conference on pattern recognition

作者： U. Bhattacharya B.B. Chaudhuri S.K. Parui Computer Vision & Pattern Recognition Unit Indian Statistical Institute Calcutta India

In this paper we describe a texture segmentation approach without feature computation based on a multilayer perceptron network (MLP). Thus, the users need not bother about the selection and then computation of feature set and hence real-time segmentation may be possible. The basic motivation of the work is the fact that human vision does not consciously compute features for distinguishing different textures in a scene. A single hidden layer MLP network has been found to be most suitable with heuristically chosen input and hidden layer sizes. A method has been used to speedup the learning of the MLP network. The result of segmentation by a trained network usually results in misclassification in the form of speckles. For the removal of such noise an edge-preserving-noise-smoothing technique is proposed. The final segmentation accuracy is well comparable with that of other existing techniques.

关键词： computer vision Image segmentation Humans Layout pattern recognition Electronic mail computer networks Surface texture User-generated content Artificial neural networks

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Semi-automatic segmentation of tissue cells from confocal microscope images

Semi-automatic segmentation of tissue cells from confocal mi...

引用

International Conference on pattern recognition

作者： P.S.Umesh Adiga B.B. Chaudhuri K. Rodenacker Computer Vision & Pattern Recognition Unit Indian Statistical Institute Calcutta India Institute of Pathology GSF Munich Germany

关键词： Image segmentation Microscopy Laser beams Image processing computer vision pattern recognition Pathology Lighting Hardware Laser noise

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An efficient algorithm for detection of road-like structures in satellite images

An efficient algorithm for detection of road-like structures...

引用

International Conference on pattern recognition

作者： A. Mukherjee S.K. Parui D. Chaudhuri B.B. Chaudhuri R. Krishnan Indian Statistical Institute Computer Vision and Pattern Recognition Unit Calcutta India Advanced Data Processing Research Institute Secunderabad India

关键词： Satellites Roads Image segmentation Pixel Sensor phenomena and characterization Spatial resolution Joining processes Intelligent networks computer vision pattern recognition

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Skeletal shape extraction from dot patterns by self-organization

Skeletal shape extraction from dot patterns by self-organiza...

引用

International Conference on pattern recognition

作者： A. Datta S.M. Parui B.B. Chaudhuri Computer and Statistical Service Centre Indian Statistical Institute Calcutta India Computer Vision & Pattern Recognition Unit Indian Statistical Institute Calcutta India

关键词： Shape US Department of Transportation Skeleton Neural networks Network topology pattern recognition Piecewise linear approximation pattern analysis computer networks

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