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94 articles for “Pattern Recognition”
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Research ArticleOpen accessIn the abstractCOMBINATION OF DIFFERENCE SUBSPACE AND OPPURTUNISTIC CLUSTERING ON HIGH DIMENSIONAL DATAM. Ravichandran, A. ShanmugamClustering is recognized as sigificant technique for analysing data and concentric effort has been taken in different domains comprises of recognition of pattern, statistical analysis and data mining for decades. Subspace clustering is developed from the group of cluster objects from all subspaces of a dataset. During clustering of objects involing higher dimension, the accuracy and effectiveness of traditional clustering … …Journal of Computer Science, Vol. 10, Issue 8 · 11 Mar 2014 · 6,359 accessesView PDFCite
Research ArticleOpen accessIn the abstractInnate, Adaptive and Intrinsic Immunity in Human Immunodeficiency Virus InfectionSuneth S. Perera, Nitin K. SaksenaThe first line of defence of the innate immune system functions by recognizing highly conserved sets of molecular structures specific to the microbes, termed pathogen-associated molecular patterns, or PAMPs via the germ line-encoded receptors Pattern-Recognition Receptors (PRRs). In addition to the innate immune system, the vertebrates have also evolved a second line of defence termed adaptive immune system, which uses … …American Journal of Infectious Diseases, Vol. 8, Issue 3 · 27 Nov 2012 · 9,727 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Cooperative Algorithm Based on PSO and K-Means for Data ClusteringMehdi Neshat, Shima Farshchian Yazdi, Daneyal Yazdani, Mehdi SargolzaeiProblem statement: Data clustering has been applied in multiple fields such as machine learning, data mining, wireless sensor networks and pattern recognition. One of the most famous clustering approaches is K-means which effectively has been used in many clustering problems, but this algorithm has some drawbacks such as local optimal convergence and sensitivity to initial points. Approach: Particle Swarm Optimization … …Journal of Computer Science, Vol. 8, Issue 2 · 19 Nov 2011 · 7,975 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved Vertex Chain Code Based Mapping Algorithm for Curve Length EstimationHabibollah Haron, Amjad Rehman, L.A. Wulandhari, Tanzila SabaProblem statement: Image representation has always been an important and interesting topic in image processing and pattern recognition. However, curve tracing and its relative operations are the main bottleneck. Approach: This research presents the mapping algorithm that covers one of the vertex chain code cells, the rectangular-VCC cell. The mapping algorithm consists of a cell-representation algorithm that represents a thinned … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,846 accessesView PDFCite
Research ArticleOpen accessIn the abstractAccurate Orthogonal Circular Moment Invariants of Gray-Level ImagesKhalid Mohamed HosnyProblem statement: Orthogonal circular moments of gray level images such as Zernike, pseudo Zernike and Fourier-Mellin moments are widely used in different applications of image processing, pattern recognition and computer vision. Computational processes of these moments and their translation and scale invariants still an open area of research. Approach: a unified methodology is presented for efficient and accurate computation of … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,793 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Independent Rough Set Approach Hybrid with Artificial Bee Colony Algorithm for Dimensionality ReductionNambiraj Suguna, Keppana Gowder ThanushkodiProblem statement: Dimensionality reduction is viewed as an important pre-processing step for pattern recognition and data mining. As the classical rough set model considers the entire attribute set as a whole to find the subset, comparing all possible combinations of sets of attributes is difficult. Approach: In this study, we have introduced an improved Rough Set-based Attribute Reduction (RSAR) namely … …American Journal of Applied Sciences, Vol. 8, Issue 3 · 25 Mar 2011 · 8,342 accessesView PDFCite
Research ArticleOpen accessIn the abstractInvariant Image Watermarking Using Accurate Zernike MomentsIsmail A. Ismail, Mohamed A. Shouman, Khalid M. Hosny, Hayam M. Abdel SalamProblem statement: Digital image watermarking is the most popular method for image authentication, copyright protection and content description. Zernike moments are the most widely used moments in image processing and pattern recognition. The magnitudes of Zernike moments are rotation invariant so they can be used just as a watermark signal or be further modified to carry embedded data. The computed … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jul 2010 · 8,014 accessesView PDFCite
Research ArticleOpen accessIn the abstractData Extraction from Computer Acquired Images of a Given 3D Environment for Enhanced Computer Vision and its Applications in Kinematic Design of RobosK. SelvarajProblem statement: Literature review was mainly aiming at recognition of objects by the computer and to make explicit the information that is implicit in the attributes of 3D objects and their relative positioning in the 3D Environment (3DE) as seen in the 2D images. However quantitative estimate of position of objects in the 3DE in terms of their x, y … …Journal of Computer Science, Vol. 6, Issue 4 · 30 Apr 2010 · 6,956 accessesView PDFCite
Research ArticleOpen accessIn the abstractSolving Square Jigsaw Puzzles Using Dynamic Programming and the Hungarian ProcedureNaif AlajlanProblem statement: To design, implement, and test an algorithm for solving the square jigsaw puzzle problem, which has many applications in image processing, pattern recognition, and computer vision such as restoration of archeological artifacts and image descrambling. Approach: The algorithm used the gray level profiles of border pixels for local matching of the puzzle pieces, which was performed using dynamic … …American Journal of Applied Sciences, Vol. 6, Issue 11 · 30 Nov 2009 · 7,696 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Set of RST Moment InvariantsKhalid M. HosnyMoment invariants are widely used in image processing, pattern recognition and computer vision. Several methods and algorithms have been proposed for fast and efficient calculation of moment's invariants where numerical approximation errors are involved in most of these methods. In this paper, an optimized set of moment invariants with respect to rotation, scaling and translation is presented. An accurate method … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 7,070 accessesView PDFCite