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    image processing

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    video sequences. The fourth video sequence reached 97.6% and the third 90.6%. In TEST 2‚ the iris detection was above 96% in all five video sequences with two above 99.7% and two at 100%. Face size estimation is also above 99.9%. The average processing time of our method was 0.02 s per frame. Thus‚ the proposed method can process frames at a rate near to 50 frames/s‚ and therefore‚ is applicable in real time in a standard personal computer (PC 1.8 GHz). Index Terms—Anthropometric templates

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    Data Processing

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    1. Data Processing- is any process that a computer program does to enter data and‚ summarize‚ analyze or otherwise convert data into usable information. The process may be automated and run on a computer. It involves recording‚ analyzing‚ sorting‚ summarizing‚ calculating‚ disseminating and storing data. Because data are most useful when well-presented and actually informative‚ data-processing systems are often referred to as information systems. Nevertheless‚ the terms are roughly synonymous‚ performing

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    Image Processing

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    Abstract – Image Processing Algorithms are the basis for Image Computer Analysis and Machine Vision. Employing a theoretical foundation – Image Algebra – and powerful development tools – Visual C++‚ Visual Fortran‚ Visual Basic‚ and Visual Java – high-level and efficient Computer Vision Techniques have been developed. This paper analyzes different Image Processing Algorithms by classifying them in logical groups. In addition‚ specific methods are presented illustrating the application of

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    Software Engineering

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    INTRODUCTION TO SOFTWARE ENGINEERING ■ What is Software? • Computer Software is the product that software professional design and built. It includes • Programs • Content • Documents ■ What is software engineering? • Your thoughts here • Related to the process: a systematic procedure used for the analysis‚ design‚ implementation‚ test and maintenance of software. • Related to the product: the software should be

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    Image Processing

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    proposed approach. These results are also compared to other filters by numerical measures and visual inspection. Keywords: AFuzzy sets‚ Fuzzy filters‚ Fuzzy smoothing‚ Fuzzy derivative 1. INTRODUCTION The application of fuzzy techniques in image processing is a promising research field. Fuzzy techniques have already been applied in several domains of image

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    Image Processing

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    ordered set of boundary points represents the contour of a given shape and is important for curvature-based shape descriptors. Categories and Subject Descriptors I.4.6 [Image Processing and Computer Vision]: Segmentation ¡V Edge and feature detection‚ Pixel classification General Terms Algorithms. Keywords Image Processing; Contour Tracing; Shape Boundary Extraction. 1. INTRODUCTION Contour tracing is an important process in boundary-based shape matching. All shapes are represented by a pattern

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    Software Quality

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    Quality in the Software Development Industry of Sri Lanka Sahan Jayawarna A.T. Fonseka Abstract The software development industry of Sri Lanka has grown rapidly during recent years. However‚ the quality of software products has become a critical issue as shown in the increase in software defects and associated solutions for those problems. This study aimed at understanding the critical factors underlying software product quality. It was based on a survey of ten software development companies

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    Abstract Software architecture plays an important role in the achievement of particular qualities we want to see in our software under development. On the other hand specific software demands some distinct qualities in software architecture. Now question arises how software architecture becomes the base to achieve the certain qualities and how qualities influence the architecture. Architecture provides the base for the development of the core product so by inspecting the architecture we can predict

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    Image Processing

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    International Journal of Latest Trends in Computing (E-ISSN: 2045-5364) Volume 2‚ Issue 1‚ March 2011 108 Analysis and Comparison of Texture Features for Content Based Image Retrieval S.Selvarajah 1 and S.R. Kodituwakku 2 1 Department of Physical Science‚ Vavuniya Campus of the University of Jaffna‚ Vavuniya‚ Sri Lanka 2 Department of Statistics & Computer Science‚ University of Peradeniya‚ Sri Lanka. {shakeelas@mail.vau.jfn.ac.lk‚ salukak@pdn.ac.lk} Abstract: Texture is one of

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    Payroll Processing

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    application. It should be able to process payroll and support basic payroll activities with some of the assumptions that we have considered to keep it simple. The purpose here is not to create a fully functional payroll application but to create a sample application and conceptually make it as close as possible to a real time payroll application. 1.2 Assumptions  Presently My Payroll will support only a single Employer; the users should not be able to create more than one Employer.  For simplicity

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