16 results for “Feature Points”

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Research ArticleOpen accessIn the abstractImproved Offline Signature Verification Scheme Using Feature Point Extraction MethodDebasish Jena, Banshidhar Majhi, Sanjay K. JenaSignature verification is a technology that can solve security problems in our networked society. A new improved offline signature verification scheme is proposed which is based on selecting 60 feature points from the geometric centre of the signature and compares them with the already trained feature points. The classification of the feature points utilizes statistical parameters like mean and variance. … …Journal of Computer Science, Vol. 4, Issue 2 · 28 Feb 2008 · 6,884 accessesView PDF Cite

Research ArticleOpen accessIn the abstractFeature Selection in Data-Mining for Genetics Using Genetic AlgorithmV. N. Rajavarman, S. P. RajagopalanWe discovered genetic features and environmental factors which were involved in multifactorial diseases. To exploit the massive data obtained from the experiments conducted at the General Hospital, Chennai, data mining tools were required and we proposed a 2-Phase approach using a specific genetic algorithm. This heuristic approach had been chosen as the number of features to consider was large (upto … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 6,627 accessesView PDF Cite

Research ArticleOpen accessIn the abstractCLIENTS’ SATISFACTION WITH REFERRAL SYSTEM IN KARBALAAli A. Kadhim AbutiheenReferral is a dynamic process and it had been recognized as crucial since the Alma Ata declaration in 1978. Hospitals are overcrowded with patients who could be more cheaply treated in smaller facilities is a com-mon feature of poorly functioning Referral System (RS). Client Satisfaction (CS) is an important parameter in the assessment of health care quality. A descriptive cross … …American Journal of Applied Sciences, Vol. 11, Issue 2 · 20 Dec 2013 · 6,662 accessesView PDF Cite

Research ArticleOpen accessIn the abstractMemoryless Modified Symmetric Rank-One Method for Large-Scale Unconstrained OptimizationFarzin Modarres, Malik Abu Hassan, Wah June LeongProblem statement: Memoryless QN methods have been regarded effective techniques for solving large-scale problems that can be considered as one step limited memory QN methods. In this study, we present a scaled memoryless modified Symmetric Rank-One (SR1) algorithm and investigate the numerical performance of the proposed algorithm for solving large-scale unconstrained optimization problems. Approach: The basic idea is to apply … …American Journal of Applied Sciences, Vol. 6, Issue 12 · 31 Dec 2009 · 7,981 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA New Method to Track Line Segment in Sequence of Images Using Only its SlopeS. Ait Kaci Azzou, S. LarabiIn this paper, we present a novel approach to track a line segment in the sequence of images obtained by camera in motion. We use the slope of segment as feature to track. The proposed method is based only on the formalism of the slope of the segment. We use the definition of the projection of points and the relation … …Journal of Computer Science, Vol. 2, Issue 10 · 31 Oct 2006 · 6,668 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordLeast Absolute Deviation Regression and Least Squares for Modeling Retention Indices of Set Compounds Food and Pollutants of the EnvironmentFatiha Mebarki, Khadija Amirat, Salima Ali Mokhnach, Djellol MessadiConsidering the importance of the statistical analysis of regression in modeling based separately on study for Quantitative structure retention indices on Carbowax 20 M (ICw20M) and OV-101 columns (IOV-101) relationships (QSRR) are determined for 114 pyrazines. The detection of influential observations for the standard least squares regression model is a problem which has been extensively studied. Least Absolute Deviation regression … …American Journal of Applied Sciences, Vol. 14, Issue 5 · 5 Jun 2017 · 7,424 accessesView PDF Cite