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International Conference on Document Analysis and recognition

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

An OCR system is proposed that can read two indian language scripts: Bangla and Devnagari (Hindi), the most popular ones in the indian subcontinent. These scripts, having the same origin in ancient Brahmi script, have many features in common and hence a single system can be modeled to recognize them. In the proposed model, document digitization, skew detection, text line segmentation and zone separation, word and character segmentation, character grouping into basic, modifier and compound character category are done for both scripts by the same set of algorithms. The feature sets and classification tree as well as the knowledge base required for error correction (such as lexicon) differ for Bangla and Devnagari. The system shows a good performance for single font scripts printed on clear documents.

关键词： Optical character recognition software Natural languages Error correction Character recognition Switches computer vision pattern recognition Cleaning Text recognition Writing

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Morphological processing of indian languages for lexical interaction with application to spelling error correction

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SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES 1996年第3期21卷 363-380页

作者： Sengupta, P Chaudhuri, BB Computer Vision and Pattern Recognition Unit Indian Statistical Institute Calcutta India

An NLP system for indian languages should have a lexical subsystem that is driven by a morphological analyzer. Such an analyzer should be able to parse a word into its constituent morphemes and obtain lexical projection of the word as a unification of the projections of the constituent morphemes. Lexical projections considered here are f-structures of the Lexical Functional Grammar (LFG). A formalism has been proposed, by which the lexicon writer may specify the lexicon in four levels. The specifications are compiled into a stored lexical knowledge base on one hand and a formulation of derivational morphology called Augmented Finite State Automata (AFSA) on the other to achieve a compact lexical representation. The aspects of AFSA, especially its power of morphological parsing of words in a computationally attractive manner, has been discussed. An additional utility of the AFSA, in the form of spelling error corrector, has also been discussed. Bangla, or Bengali is considered as a case study. Implementation notes based on object-oriented programming principles has been provided.

关键词： natural language processing morphological sub-system lexical representation augmented finite state automata spelling corrector object-oriented implementation

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A new definition of neighborhood of a point in multi-dimensional space

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pattern recognition LETTERS 1996年第1期17卷 11-17页

作者： Chaudhuri, BB Computer Vision and Pattern Recognition Unit Indian Statistical Institute 203 B.T. Road Calcutta 700 035 India

Given a set of points in multi-dimensional space, we propose a new definition for the neighbors of an arbitrary point P. The definition tries to capture the idea that the neighbors should be as near to P and as symmetrically placed around P as possible. In contrast, the conventional nearest neighborhood considers only nearness as the criterion for neighborhood. We propose an iterative procedure to compute the neighbors where the first neighbor is the nearest neighbor. The second and other neighbors are chosen so that at any stage the distance between the centroid of the neighbors and P is as small as possible. The centroid criterion takes care of symmetrical placement of the neighbors. One can use median instead of centroid to define the neighbors. The new definition is free from any user-specified parameter and can be used for pattern classification, clustering and low-level description of dot patterns.

关键词： neighborhood classification clustering pattern recognition image processing

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OCR error detection and correction of an inflectional indian language script

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

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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...

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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...

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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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Skeletal shape extraction from dot patterns by self-organization

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

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

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

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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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OCR error detection and correction of an inflectional indian language script

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

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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...

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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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