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IEEE Region 8 International Symposium on Video/image processing and Multimedia communications (EURASIP)

作者： Ming Delie Liu Jian Tian Jinwen State Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan Hubei China

This paper designs and implements a financial invoice recognition system based on the features of the Chinese financial invoice. By using the linear whole block moving method in each vertical segment, a new fast algorithm is put forward to detect and rectify slanted images. To distinguish the different form types (the foundation necessary for locating the form fields, filtering the form lines, etc), several representative form features are discussed and an invoice-type features library is built by using a semi-automatic machine study method. On the basis of the recognized invoice type, a real invoice form is re-oriented against the corresponding blank form according to the invoice type feature, solving the problem of adhesion of characters and form lines, as well as the problem of character segmentation and recognition. Based on the financial Chinese invoice image feature, a mutual rectification mechanism founded on the recognition results of financial Chinese characters and Arabic numerals is put forward to raise the recognition rate. Finally, experimental results and conclusions are presented.

关键词： Character recognition Optical character recognition software image recognition image segmentation image processing Pattern recognition High speed optical techniques Optical filters System testing Laboratories

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Improvement and invariance analysis of Zernike moments

Improvement and invariance analysis of Zernike moments

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International Conference on communications, Circuits and Systems (ICCCAS)

作者： Ye Bin Peng Jia Xiong State Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition & Artificial Intelligence Huazhong University of Science and Technology Wuhan Hubei China

An improved Zernike moment using a region-based shape descriptor is presented. The improved Zernike moment not only has rotation invariance, but also has scale invariance that the unimproved Zernike moment does not have. The experimental results show that the improved Zernike moment has better invariant properties than the unimproved Zernike moment using a region-based shape descriptor.

关键词： Shape Information retrieval image retrieval Content based retrieval image databases Multi-stage noise shaping Laboratories image processing Intelligent control Pattern recognition

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Cooperative path planning for multiple air vehicles using a co-evolutionary algorithm

Cooperative path planning for multiple air vehicles using a ...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Chang-Wen Zheng Ming-Yue Ding Cheng-Ping Zhou State Education Commission Key Laboratory for Image Processing and Intelligent Control Institute for Pattem Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

The coordinated path-planning problem for multiple unmanned air vehicles is studied with the proposal of a co-evolving and cooperating path planner. In the new planner, potential paths of each vehicle form their own subpopulation, and evolve only in their own sub-population, while the interaction among all sub-problems is reflected by the definition of fitness function. Meanwhile, the individual candidates are evaluated with respect to the workspace so that the computation of the configuration space is avoided. By using a problem-specific representation of candidate solutions and genetic operators, our algorithm can take into account different kinds of mission constraints and generate the solutions in real-time.

关键词： Path planning Unmanned aerial vehicles Level measurement Terrain mapping Genetics Evolutionary computation Laboratories image processing Intelligent control image recognition

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Improvement and invariance analysis of Zernike moments using as a region-based shape descriptor

Improvement and invariance analysis of Zernike moments using...

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Brazilian Symposium on Computer Graphics and image processing (SIBGRAPI)

作者： Ye Bin Peng Jia-xiong Institute for Pattern Recognition & Artificial Intelligence State Key Laboratory For Image Processing & Intelligent Control Huazhong University of Science슠and슠Technology Wuhan Hubei China

An improved Zernike moment using as a region-based shape descriptor is presented. The improved Zernike moment not only has rotation invariance, but also has scale invariance that the unimproved Zernike moment does not have. The experimental results show that the improved Zernike moment has better invariant properties than unimproved Zernike moment using as region-based shape descriptor.

关键词： Shape image processing image retrieval image databases Multi-stage noise shaping Intelligent control Pattern recognition Artificial intelligence Content based retrieval Trademarks

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Object based video watermarking scheme using inertia ellipse and shape adaptive DCT

Object based video watermarking scheme using inertia ellipse...

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IEEE Workshop on Multimedia Signal processing

作者： Guo Jie Shi Peng-fei Fang Tao Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China The State Key Laboratory of Information Security Chinese Academy and Sciences Beijing China Chinese Academy of Seiencer The State Key Laboratory of Information Security Beijing China

ISBN: (纸本)0780377133

Video object (VO) is an important concept in MPEG-4. For objects can be easily manipulated without visible distortion, the copyright protection of video objects becomes an important issue. This paper presents a watermarking scheme for video objects. Different from other methods, the proposed scheme employed inertia ellipse to achieve fast synchronization recovery in case the object was manipulated. Shape adaptive DCT and visual mask were combined to embed the watermark into the arbitrarily shaped object, which was designed to achieve the trade-off between the invisibility and the robustness. Experiments show that our algorithm is robust to object manipulations such as rotations, translations, scaling and lossy compression. Our scheme can be easily incorporated into the object-based coding framework of MPEG-4.

关键词： Watermarking Shape Discrete cosine transforms MPEG 4 Standard Robustness image coding Streaming media Discrete wavelet transforms image processing image recognition

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The design and implementation of a Chinese financial invoice recognition system

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Journal of Quantitative Linguistics 2002年第1期9卷 19-33页

作者： Ming, Delie Liu, Jian Tian, Jinwen State Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan Hubei Province 430074 China

This paper designs and implements a financial invoice recognition system based on the features of the Chinese financial invoice. By using the linear whole block moving method in each vertical segment, a new fast algorithm is put forth to detect and rectify the slant image. To distinguish the different form types (the foundation necessary for locating the form fields, filtering the form lines, etc.), several representative form features are discussed and an invoice-type features library is built by using a semi-automatic machine study method. On the basis of the recognized invoice type, real invoice form is re-oriented against the corresponding blank form according to the invoice type feature, solving the problem of adhesion of characters and form lines, as well as the problem of character segmentation and recognition. Based on the Chinese financial invoice image feature, a mutual rectification mechanism founded on the recognition results of Chinese financial characters and Arabic numerals is put forward to raise the recognition rate. Finally, the experimental results and conclusions are presented. © Swets & Zeitlinger.

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Automatic retinal image registration based on blood vessels feature point

Automatic retinal image registration based on blood vessels ...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Er-Hu Zhang Yan Zhang Tian-Xu Zhang School of Live Sciences and Technology Xi''an Jiaotong University China Department of Information Science Xi''an University of Technology China Key Laboratory of Education Ministry for Image Processing and Intelligent Control Huangzhong University of Science and Technology China

ISBN: (纸本)0780375084

Retinal image registration is commonly required in order to combine the complementary information in different retinal modalities images, which is very useful for clinic diagnoses and laser treatment. In the paper, an automatic scheme to register retinal images based on blood vessel feature point extraction is presented. Firstly, the crossover and branching points of the RF (red-free) retinal image and the FA (fluoroscein angiography) retinal image are extracted using a multi-direction exploratory method after the blood vessel visibility is enhanced. Considering the number of feature points extracted on different images are not equal and their location does not correspond between the retinal images, the scheme described in the paper combined the closest interval criterion between the corresponding feature points with a SVD algorithm to accurately register retinal images. Our method compared with previously known ways is an efficient and automatic scheme of retinal image registration. The experimental results indicate the registration of the fluoroscein angiography image with the corresponding red-free retinal image and a series of the fluoroscein angiography images can be also successful using our method.

关键词： Retina Blood vessels Biomedical imaging image registration Feature extraction Medical diagnostic imaging Angiography Anatomy Radio frequency Educational technology

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Brightness temperature emitted by radiometer calibration load at millimeter wave band

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INTERNATIONAL JOURNAL OF INFRARED AND MILLIMETER WAVES 2001年第4期22卷 553-569页

作者： Xiao, ZH Zhang, ZY Guo, W 1. Key Laboratory of Education Ministry of People's Republic of China for Image Processing and Intelligent Control China

In this paper, the DVRT(vector radiative transfer theory of densely distributed random discrete scatters) model to calculate the brightness temperature emitted by radiometer calibration load is presented. It takes the multiple scattering of isolation layer into account, which is neglected by the incoherent homogeneous model often used in calibration. Hence, it works much better than incoherent homogeneous model at millimeter wave band. Furthermore, the iteration of DVRT model is presented, and it proves that the incoherent homogeneous model is just the zero-order solution of DVRT model. Some numerical results are provided in the end.

关键词： DVRT model incoherent homogeneous model radiometer calibration calibration load brightness temperature

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Eurasip Journal on Applied Signal processing: Editorial

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Eurasip Journal on Applied Signal processing 2002年第10期2002卷 1003-1004页

作者： Strintzis, Michael G. Marques, Ferran Lavagetto, Fabio Information Processing Laboratory Electrical Engineering Department Aristotle University of Thessaloniki Thessaloniki 54006 Greece Informatics and Telematics Institute 1st Km Thermi-Panorama Road Thermi-Thessaloniki 57001 Greece Technical University of Catalonia UPC Campus Nord Modul D5 C/ Jordi Cirona 1-3 08034 Barcelona Spain Department of Communication DIST University of Cenova Via Opera Pia 13 Genova Italy Electrical Engineering Department University of Pittsburgh Pittsburgh PA United States University of Thessaloniki Thessaloniki Greece Info./Telematics Research Institute Thessaloniki Greece Swiss Fed. Institute of Technology EPFL Lausanne Switzerland Department of Signal Theory Polytechnic University of Catalonia Barcelona Spain Sign. and Image Processing Institute USC Los Angeles CA United States UPC Bercelona Spain AT and T Bell Laboratories Holmdel NJ United States University of Parma Parma Italy DIST University of Genova Genova Italy

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The Applications of Generalized Computing in Decision-making

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Journal of Systems Science and Systems Engineering 2001年第4期13卷 397-402页

作者： YAO Min, HUANG Yan-jun 1. Dopt. of Computer, Zhejiang University, Hangzhou 3l0028, China key laboratory of Education Mnistry for image processing and Intelligent Control 2. School of Economics, Zhejianig University, Hangzhou 310028, China Dept. of Computer Zhejiang University Hangzhou 310028 China Key Laboratory of Education Ministry for Image Processing and Intelligent Control School of Economics Zhejianig University Hangzhou 310028 China

Knowledge is one of the most important elements in production and the first resource in enterprise. By introducing knowledge to decision making, this paper presents a kind of know1edge decision- making model (KDM for ... 详细信息

关键词： know1edge decision-making generalized computing

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