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检索条件"机构=PES Center for Pattern Recognition and Department of Computer Science and Engineering"
125 条 记 录,以下是121-130 订阅
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Low-level cursive word representation based on geometric decomposition
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4th International Conference on Machine Learning and Data Mining in pattern recognition, MLDM 2005
作者: Dong, Jian-Xiong Krzyzak, Adam Suen, Ching Y. Ponson, Dominique IMDS Software 75 rue Queen Montréal Que. H3C 2N6 Canada Center for Pattern-Recognition and Machine Intelligence Concordia University Montréal Que. H3G 1M8 Canada Department of Computer Science and Software Engineering Concordia University 1455 de Maisonneuve Blvd. W. Montréal Que. H3G 1M8 Canada
An efficient low-level word image representation plays a crucial role in general cursive word recognition. This paper proposes a novel representation scheme, where a word image can be represented as two sequences of f... 详细信息
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A Region-Based Representation of Images in MARS
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Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology 1998年 第1-2期20卷 137-150页
作者: Servetto, Sergio D. Rui, Yong Ramchandran, Kannan Huang, Thomas S. Beckman Inst. Adv. Sci. and Technol. Univ. Illinois at Urbana-Champaign Urbana IL 61801 United States Universidad Nacional de La Plata Argentina Univ. Illinois at Urbana-Champaign United States Comp. Res. Adv. Applications Group IBM Argentina Argentina Image Formation and Processing Group Beckman Institute UIUC United States Department of Computer Science UNLP Argentina Dept. of Elec. and Comp. Engineering UIUC United States Multimedia Commun. Res. Department Bell Laboratories Murray Hill NJ United States Info. Sciences Research Department AT and T Labs. Florham Park NJ United States Department of Computer Science UIUC United States Southeast University China Tsinghua University China University of Illinois Urbana-Champaign IL United States Image Formation and Processing Group Beckman Inst. Advance Sci. Technol. UIUC United States Vis. Technol. Grp. of Microsoft Res. Redmond WA United States City College of New York United States Columbia University United States AT and T Bell Labs. United States Ctr. for Telecommunications Research Columbia University United States Elec. and Comp. Eng. Department United States Beckman Institute Coordinated Science Laboratory IL United States IEEE Signal Processing Society United States IEEE IMDSP Technical Committee United States IEEE Transactions on Image Proc. United States National Taiwan University Taipei Taiwan Massachusetts Inst. of Technology Cambridge MA United States Department of Electrical Engineering MIT United States School of Electrical Engineering United States Lab. for Info. and Signal Processing Purdue University United States Dept. of Elec. and Comp. Engineering United States Coordinated Science Laboratory United States Image Formation and Processing Group Beckman Inst. Adv. Sci. and Technol. United States MIT Lincoln Laboratory IBM Thomas J. Watson Research Center Rheinishes Landes Museum Bonn Germany Swiss Institutes of Technology Zurich Switzerland Swiss Institutes of Technology Lausanne S
We study the problem of representing images within a multimedia Database Management System (DBMS), in order to support fast retrieval operations without compromising storage efficiency. To achieve this goal, we propos...
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A novel approach to optical character recognition based on ring-projection-wavelet-fractal signatures
A novel approach to optical character recognition based on r...
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International Conference on pattern recognition
作者: Yuan Y. Tang Bing F. Li Hong Ma Jiming Liu C.H. Leung Ching Y. Suen Center for Pattern Recognition and Machine Intelligence Concordia University Montreal QUE Canada Department of Computing Studies Hong Kong Baptist University Hong Kong China Department of Computer Science Sichuan University Chengdu Sichuan China Department of Mathematics Sichuan University Chengdu Sichuan China Department of Electrical & Electronic Engineering University of Hong Kong Hong Kong China
In this paper, we present a novel approach to optical character recognition that utilizes ring-projection-wavelet-fractal-signatures. In particular, the proposed approach reduces the dimensionality of a two-dimensiona... 详细信息
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Encyclopedia of Biometrics
Encyclopedia of Biometrics
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1000年
作者: Stan Z. Li Anil K. Jain
Biometrics refers to automated methods of recognizing a person based on physiological or behavioral characteristics. TheEncyclopedia of Biometricsprovides a comprehensive reference to topics in Biometrics, including c... 详细信息
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Handbook of Face recognition  1
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1000年
作者: Stan Z. Li Anil K. Jain
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