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Fuzzy patterns recognition

Fuzzy patterns recognition

引用

conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： B. Shukhat

This paper is devoted to the problem of fuzzy pattern recognition. The most universal case, when both images and clusters are fuzzy sets, is considered. Based on the features of level sets, an idea of linearly separable fuzzy clusters is introduced. An algorithm is proposed for deriving a decision-making function, based on the technique originally used for the crisp case. By solving a single system of linear inequations, it allows one to derive the borders of a number of level sets of clusters. These borders, being decision functions for each level respectively, at the same time produce matching functions for fuzzy clusters. All algorithms are computer-oriented and can be implemented for the automatic recognition of fuzzy patterns.

关键词： pattern recognition Fuzzy sets Level set Fuzzy set theory image recognition Decision making Clustering algorithms

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Geographic map understanding. Algorithms for hydrographic network reconstruction. 3rd

引用

3rd International Computer Science conference (ICSC 95) - image analysis Applications and Computer Graphics

作者： Mariani, R Deseilligny, MP Labiche, J Lecourtier, Y Mullot, R UNIV ROUEN LA3ILACISUFR SC & TECHF-76821 MONT ST AIGNANFRANCE

ISBN: (纸本)3540606971

This paper describes a high-level reconstruction method of the hydrographic ''linear'' network graph, represented in a french geographic map, with dashed lines and interrupted solid lines. The process takes into account drawing rules used by cartographers and properties of the natural network graph, in order to provide a geometrically and topologically correct graph. Working with a graph, obtained by vectorization, we have a good matching between the data and the natural graph concept and so, we apply directly the rules defined on the real network for reconstructing the cartographic network.

关键词： Topology

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Extraction of slant character candidates from maps using circular templates

Extraction of slant character candidates from maps using cir...

引用

International conference on Document analysis and recognition

作者： O. Shiku A. Nakamura M. Anegawa H. Takahira H. Kuroda Sasebo National College of Technology Nagasaki Japan Department of Electrical Engineering and Computer Science Nagasaki University Nagasaki Japan

The paper proposes a method for extracting slant characters from complicated background figures efficiently and rapidly. In this method, slant character candidates are extracted using the black pixel density features, that is, matching rate of two different sized circular templates, which are inscribing and circumscribing a target character, with an original image. In order to estimate performance of the proposed method, the method was applied to 41 topographic map images (512/spl times/512 pixels) involving 1032 slant characters. As a result, the average number of character candidates per character was reduced to about 41 candidates, and 94.3% of 1032 slant characters were extracted correctly.

关键词： Pixel Data mining Character recognition image recognition Bibliographies Educational institutions Computer science pattern matching Dictionaries Graphics

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An adaptive estimation and segmentation technique for determination of major maceral groups in coal 3rd

引用

3rd International Computer Science conference (ICSC 95) - image analysis Applications and Computer Graphics

作者： Dehmeshki, J Daemi, MF Atkin, BP Miles, NJ UNIV NOTTINGHAM DEPT MINERAL RESOURCES ENGNNOTTINGHAM NG7 2RDENGLAND

ISBN: (纸本)3540606971

This paper describes the development of an automated image based system for the classification of macerals in polished coal blocks. Coal petrology, and especially the estimation of the maceral content of a coal, has traditionally been considered to be a highly skilled and time consuming operation. However the recent upsurge in interest in this subject, driven by environmental legislation related to the utilisation of coal, has necessitated the development of a reliable automated system for maceral analysis. Manual maceral analysis is time consuming and its accuracy is largely dependent upon the skill of the operator. The major drawbacks to manual maceral analysis are related to time and operator fatigue, which can develop after the analysis of only one or two polished blocks. The reproducibility of the results from manual maceral analysis is also dependent upon the experience of the operator. In this paper, a cooperative, iterative approach to segmentation and model parameter estimation is defined which is a stochastic variant of the Expectation Maximization (EM) algorithm. Because of the high resolution of these images under study, the pixel size is significantly smaller than the size of most of the different regions of interest. Consequently adjacent pixels are likely to have similar labels. In our Stochastic Expectation Maximization (SEM) method the idea that neighboring pixels are similar to one another is expressed by using Gibbs distribution for the priori distribution of regions (labels). We also present a suitable statistical model for distribution of pixel values within each maceral groups. This paper illustrate the power of the SEM method for the segmentation of macerals types.

关键词： macerals coal segmentation Expectation Maximization Gibbs distribution Stochastic model

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A formal model for document processing of business forms

A formal model for document processing of business forms

引用

International conference on Document analysis and recognition

作者： M. Cheriet J.N. Said C.Y. Suen Laboratoire dImagerie deVision et dIntelligence ArtificielleEcole de Technologie Superieure Universite du Quebec Montreal QUE Canada Center for Pattern Recognition and Machine Intelligence Concordia University West Montreal QUE Canada

We present a formal model for processing gray-scale images of business forms such as bank cheques. The formal model is based on a new hybrid-based approach namely the base lines. In fact, to segment handwritten and hand-printed data from bank cheques, knowledge rules and base lines will have important roles to segment and extract the information from bank cheques. The architectural design as well as the major components of the system is discussed in full detail. Moreover, the significant use of the morphological followed by the topological processing on gray-scale images is used as a major aspect to restore the lost information after the elimination of the background and the base lines from the gray-scale cheques.

关键词： image segmentation Gray-scale Data mining Pixel image restoration Information filtering Information filters Object detection image enhancement Surface-mount technology

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On-line cursive script recognition using an island-driven search technique

On-line cursive script recognition using an island-driven se...

引用

International conference on Document analysis and recognition

作者： Seung-Ho Lee Hyunkyu Lee J.H. Kim Department of Computer Science KAIST Taejon South Korea

A new approach for on-line cursive script recognition that combines a letter spotting technique with an island-driven lattice search algorithm is presented. Initially, all plausible letter components within an input pattern are detected, using a letter spotting technique based on hidden Markov models. A word hypothesis lattice is generated as a result of the letter spotting. Then an island-driven search algorithm is performed to find the optimal path on the word hypothesis lattice, which corresponds to the most probable word among the dictionary words. The results of this experiment suggest that the proposed method works effectively in recognizing English cursive words. In a word recognition test, the average 85.4% word accuracy was obtained.

关键词： Lattices Hidden Markov models Shape Speech recognition Handwriting recognition Computer science Electronic mail Testing Data structures image recognition

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Column segmentation by white space pattern matching

Column segmentation by white space pattern matching

引用

International conference on Document analysis and recognition

作者： M. Ozaki Fuji Xerox Palo Alto Laboratory Palo Alto CA USA

Model-based column segmentation is described. Sequences of horizontal white space across a column are used as the basic features. Structures of columns in a specific publication are described by two levels of regular expressions: column expressions (CE) and element expressions (EE). Additional spatial constraints for element attributes can be described. A CE represents patterns of element sequences. An EE represents patterns of white space sequences for each element type. Segmentation is performed in three steps: element candidate extraction using EEs, column structure verification using the CE and ranking by comparison with statistical data. Experiments were performed on columns in two different scientific journals. More than 70% of the columns were correctly segmented as the top choice and more than 87% were in the top three choices. When spatial constraints were applied to element attributes, the rate was more than 90%.

关键词： White spaces pattern matching Tagging Laboratories Data mining image segmentation Robustness

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3-D emotion space for interactive communication 3rd

引用

3rd International Computer Science conference (ICSC 95) - image analysis Applications and Computer Graphics

作者： Kawakami, F Ohkura, M Yamada, H Harashima, H Morishima, S KAWAMURA COLL PSYCHOL LABTOKYOJAPAN UNIV TOKYO FAC ENGNTOKYO 113JAPAN

ISBN: (纸本)3540606971

In this paper, the methods for modeling racial expression and emotion are proposed. This Emotion Model, called 3-D Emotion Space can represent both human and computer emotion conditions appearing on the face as a coordinate in the 3-D Space. For the construction of this 3-D Emotion Space, 5-layer neural network which is superior in non-linear mapping performance is applied. After the network training with backpropagation to realize Identity Mapping, both mapping from facial expression parameters to the 3-D Emotion Space and inverse mapping from the Emotion Space to the expression parameters were realized. As a result a system which can analyze acid synthesize the facial expression were constructed simultaneously. Moreover, this inverse mapping to the facial expression is evaluated by the subjective evaluation using the synthesized expressions as Lest images. This evaluation result proved the high performance to describe natural facial expression and emotion condition with this model.

关键词： Mapping

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AUTOMATIC INSPECTION SYSTEM FOR STAIN AND DENT DEFAULT IN SWITCH MANUFACTURING

AUTOMATIC INSPECTION SYSTEM FOR STAIN AND DENT DEFAULT IN SW...

引用

3rd Annual SPIE conference on Machine Vision Applications in Industrial Inspection

作者： MARTI, J VErdU, T BATLLE, J UNIV GIRONA DEPT IND ENGNCOMP VISION GRPE-17003 GIRONASPAIN

ISBN: (纸本)081941770X

Quality control in switch manufacturing requires both an electrical test and full analysis of switch's plastic surface to mount. This paper describes an automatic system for stain and dent fault-detection for the plastic surface of switches during its manufacturing. Two different images of every switch are used: in the former, the switch is illuminated with fuzzy and uniform white light intended to magnify the visual effects of the stain; in the latter, a known striped pattern is projected on the switch so that a dent or a bump at the plastic surface will result in a modified pattern that would easily be detected by the system. The inspection unit is designed to operate as a real-time and low-cost system. So, a single inspection unit takes and processes both pictures. Furthermore, another operation is performed for unfaulty parts that pass the inspection test: they are properly oriented for further assembling processes based on their serigraphied symbols. Some improvements could be made to the system at the expense of low-cost constraints that involve better accuracy and provide with more robustness in few specific cases.

关键词： Switches Inspection Manufacturing Light sources and illumination image processing Calibration Photonic integrated circuits Computing systems Visualization Control systems

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An extended-shadow-code based approach for off-line signature verification. II. Evaluation of several multi-classifier combination strategies

An extended-shadow-code based approach for off-line signatur...

引用

International conference on Document analysis and recognition

作者： R. Sabourin G. Genest Départment degénie delaproduction autonmatisée Ecole de Technologie Supérieure Montreal QUE Canada

For pt.I see Proc. 12th ICPR, p.450-3. In a real situation, the choice of the best representation R(/spl gamma/) for the implementation of a signature verification system able to cope with all types of handwriting is a very difficult task. This study is original in that the design of the integrated classifiers E(x) is based on a large number of individual classifiers e/sub k/(x) (or signature representations R(/spl gamma/)) in an attempt to overcome in some way the need for feature selection. In this paper, the authors present a first systematical evaluation of a multi-classifier-based approach for off-line signature verification. Two types of integrated classifiers based on kNN or minimum distance classifiers and 15 types of representation related to the ESC used as a shape factor have been evaluated using a signature database of 800 images (20 writers/spl times/40 signatures per writer) in the context of random forgeries.

关键词： Handwriting recognition Shape pattern recognition Production systems image databases Spatial databases Forgery Character recognition Voting Diversity reception

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