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Automatic recognition of noisy Code-39 barcode

Automatic recognition of noisy Code-39 barcode

引用

16th International Conference on Artificial Reality and Telexistence - Workshops, ICAT 2006

作者： Fang, Xianyong Wu, Fuli Luo, Bin Zhao, Haifeng Wang, Peng Key Lab. of Intelligent Computing and Signal Processing Ministry of Education Anhui University College of Information Engineering Zhejiang University of Technology Electronics Ltd.

ISBN: (纸本)076952754X

Barcode has been widely applied in the modern world. This paper presents a fast and robust recognition method of noisy Code 39 barcode. The proposed method can be divided into two steps: search and decoding. In the first step, all asterisks in the image are found with evenly defined scan lines and then those with the same directions are matched together to get a valid barcode region. In the second step, a local denoise method is first applied to eliminate noise in the barcode region and then a middle band filter is used to decode the barcode. Our method is simple in comparison with former methods and experimental results show that it is efficient for fast barcode recognition on noisy images. © 2006 IEEE.

关键词： Decoding

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Shape Edit Distance on Contour based Shapes

Shape Edit Distance on Contour based Shapes

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International Conference on intelligent Systems Design and Applications (ISDA)

作者： Chunyan Zhang Jin Tang Bin Luo Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Anhui University Hefei Anhui China

We present a new distance for the contour-based shapes recognition which we called shape edit distance (SED). Unlike the traditional distance, SED takes into account the spatial deformation of shapes. To compute the shape edit distance, we convert shapes to string sequences so that string matching techniques can be used. We pose the problem of string matching as a maximum a posteriori probability (MAP) alignment of the string sequences for shapes and compute the shape edit distance by finding the sequence of string edit operations which minimizes the cost of the path traversing the edit lattice. Experiments demonstrate the utility of the shape edit distance on a number of image retrieval and clustering problems

关键词： Shape measurement Costs Discrete Fourier transforms Lattices Humans Feature extraction Fourier transforms Frequency signal processing Image retrieval

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MFC: A method of Co-referent relation acquisition from large-scale chinese corpora

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3rd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2006

作者： Guogang, Tian Cungen, Cao Lei, Liu Haitao, Wang Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China Graduate University Chinese Academy of Sciences Beijing 100080 China

ISBN: (纸本)3540459162

This paper proposes a multi-feature constrained method (MFC) to acquire co-referent relations from large-scale Chinese corpora. The MFC has two phases: candidate relations extraction and verification. The extraction phase uses distribution distance, pattern homogeneity and coordination distribution features of co-referent target words to extract candidate relations from Chinese corpora. In the verification phase, we define an ontology for co-referent token words, and build a relation graph for all candidate relations. Both the ontology and the graph are integrated to generate individual, joint and reinforced strategies to verify candidate relations. Comprehensive experiments have shown that the MFC is practical, and can also be extended to acquire other types of relations. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Data acquisition

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A novel approch for clustering of Chinese text based on concept hierarchy

A novel approch for clustering of Chinese text based on conc...

引用

IEEE International Conference on Cognitive Informatics

作者： Zhao, Peng Geng, Huan-Tong Cai, Qing-Sheng Department of Computer Science and Technology University of Science and Technology of China Hefei 230027 China Key Lab. of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China

ISBN: (纸本)9781424404759

After analyzing the disadvantages of traditional text clustering method based on keywords set, a novel approach for clustering of Chinese text based on concept hierarchy is presented. It introduces a Chinese topic classify dictionary as background knowledge to clustering of Chinese text. It adopts a hierarchical coding system which reflects concept relevance among different words and uses Vector Space Model based on concept hierarchy to represent Chinese text. The experimental results show this approach is more effective than traditional text clustering method based on keywords set. © 2006 IEEE.

关键词： Cluster analysis

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Default Description Logics with Reversing Inference Rules

Default Description Logics with Reversing Inference Rules

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Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

作者： Yu Sun Yuefei Sui Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Acade Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Acade

ISBN: (纸本)9781424404759

Default description logics are extensions of description logics by Reiter's default logic in order to represent and reason about non-monotonic knowledge. A default says that if its prerequisite is provable, and the negation of its justification is not provable, then its consequence is provable. As a method of using defaults in a reverse way, reversing inference rules are introduced to default description logics. For a default, its reversing inference rule says if the negation of the consequence of the default is provable, then the negation of the prerequisite or the negation of the justification of the default is provable. Then a default description theory is extended to an extended default description theory with reversing inference rules and the definition of extensions of the extended default description theory is given. A default description theory can infer statements by using its defaults. However, an extended default description theory can infer statements not only by using its defaults, but by using its reversing inference rules. The relations between default description theories and their extended default description theories are discussed. For a default description theory without extensions, its extended default description theory may have extensions.

关键词： Description logics Default logics Reversing inference rules Extensions.

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Context optimization of AI planning for services composition

Context optimization of AI planning for services composition

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IEEE International Conference on e-Business Engineering, ICEBE 2006

作者： Lirong, Qiu Zhongzhi, Shi Fen, Lin Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences 100080 Beijing China Graduate School Chinese Academy of Sciences 100039 Beijing China

ISBN: (纸本)0769526454

Web services composition techniques are gaining momentum as the opportunity to establish reusable and versatile inter-op er ability applications. Many researchers propose their composition approach based on planning techniques. We propose our context aware planning method which comprises global planning and local optimization based on context information. The major technical contributions of this paper are: (1) We propose an ontology-based framework for the context-aware composition of Web services. Context model, which are structured based on OWLS, captures the Service-related, Environment-related, and User-related context and can be used in an unambiguous, machine interpretable form. (2) We propose context-aware plan architecture and thus is more scalability and flexibility for the planning process, and thereby improving the efficiency and precision. (3) We propose a hybrid approach to build a plan corresponding to a context-aware service composition, based on global planning and local optimization, considering both the usability and adoption. We test our approach on a simple, yet realistic example, and the preliminary results demonstrate that our implementation provides a practical solution. © 2006 IEEE.

关键词： Web services

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Tolerance relation based granular space

Tolerance relation based granular space

引用

High-Power Diode Laser Technology and Applications IV

作者： Zheng, Zheng Hu, Hong Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences 100080 Beijing China Graduate School Chinese Academy of Sciences 100039 Beijing China

ISBN: (纸本)0819461466

Granular computing as an enabling technology and as such it cuts across a broad spectrum of disciplines and becomes important to many areas of applications. In this paper, the notions of tolerance relation based information granular space are introduced and formalized mathematically. It is a uniform model to study problems in model recognition and machine learning. The key strength of the model is the capability of granulating knowledge in both consecutive and discrete attribute space based on tolerance relation. Such capability is reestablished in granulation and an application in information classification is illustrated. Simulation results show the model is effective and efficient. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Knowledge representation

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Granular analysis of time sequence based on quotient space

Granular analysis of time sequence based on quotient space

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CIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on intelligent Agents Web Technologies and International Commerce

作者： Zhao, Liquan Zhang, Ling Zhang, Bo Province Key Laboratory of Electronic Business Nanjing University of Finance and Economics Nanjing 210003 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China Artificial Intelligence Institute Anhui University Hefei 230039 China Computer Science Department Tsinghua University Beijing 100084 China

ISBN: (纸本)0769527310

This paper aims to carry out granular analysis of time sequence based on quotient space. Granular methods have long before been adopted to analyze time sequence, but the granularity was based on time, for example, day mean, month mean, year mean and so on in finance forecast. In this paper, the granularity is based on space and some significant results are obtained: we can, in certain circumstances, get characteristics of time sequence in an original space when carrying out granular analysis of it in its coarser-grain space;granular analysis of a Markov chain is equivalent to an hidden Markov model (HMM), contrarily, any HMM is equivalent to granular analysis of a Markov chain. These results deepened our understanding of HMM from the perspective of granular analysis. We can not only use the methods of HMM to study time sequence, but also use the methods of granular analysis based on quotient space theory to solve the problems of HMM. © 2006 IEEE.

关键词： intelligent agents

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Research in Quotient Space Theory Based on Structure

Research in Quotient Space Theory Based on Structure

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Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

作者： Liquan ZHAO Ling ZHANG Province Key Laboratory of Electronic Business Nanjing University of Finance and Economics Nanjing Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education Anhui Universi

ISBN: (纸本)9781424404759

The quotient space theory is indented to study the relationship of transform and that of dependency among the worlds with different grain-size. Compared-with other granule computing tools, it has more powerful abilities of representation and absorption. The reason is that structure is introduced in its model The paper is to study the quotient space theory based on structure. We first introduce some methods of constructing quotient structure. Then we study in detail the quotient space family based on structure, and get some good results for further research. Finally we also briefly discuss hierarchical structure of fuzzy sets.

关键词： quotient space granule computing fuzzy set rough set hierarchical structure.

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SAR Image Despeckling Using Local Contextual Hidden Markov Model in the Contourlet Domain

SAR Image Despeckling Using Local Contextual Hidden Markov M...

引用

IEEE International Conference on Radar

作者： Shuang Wang Xiao Xu Biao Hou Li Cheng Jiao Institute of Intelligent Information Processing and Key Laboratory for Radar Signal Processing Xidian University Xi'an China

Synthetic aperture radar (SAR) image despeckling is an important problem in the SAR applications. A novel despeckling approach using a local contextual hidden Markov model (LCHMM) in the contourlet domain is presented in this paper. The proposed method can not only use the multiresolution and multidirection characteristics of the contourlet transform, but also exploit the local statistics and capture the intrascale dependencies of the contourlet coefficients by using LCHMM. The experiments in despeckling SAR images show that the proposed method in contrary to other methods can obtain a better trade-off between smoothing the homogeneous areas and keeping the edges and can get better visual effect

关键词： Hidden Markov models Filter bank Synthetic aperture radar signal resolution Multiresolution analysis Wavelet transforms Radar signal processing Statistics Smoothing methods Context modeling

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