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234 results for “Classifier”
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Research ArticleOpen accessIn the keywordsPERFORMANCE ANALYSIS OF BRAIN TUMOR DIAGNOSIS BASED ON SOFT COMPUTING TECHNIQUESP. Shantha Kumar, P. Ganesh KumarComputed tomography images are widely used in the diagnosis of brain tumor because of its faster processing, avoiding malfunctions and suitability with physician and radiologist. This study proposes a new approach to automated detection of brain tumor. This proposed work consists of various stages in their diagnosis processing such as preprocessing, anisotropic diffusion, feature extraction and classification. The local binary … …American Journal of Applied Sciences, Vol. 11, Issue 2 · 27 Dec 2013 · 6,989 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDECISION TREE BASED OCCLUSION DETECTION IN FACE RECOGNITION AND ESTIMATION OF HUMAN AGE USING BACK PROPAGATION NEURAL NETWORKP. Karthigayani, S. SridharOcclusion detection in face verification is an essential problem that has not widely addressed. In this study the research is deals about occlusion detection in face recognition and estimation of human age using image processing. The objects hide from another object is called as occlusion. Occlusion conditions may vary from face wearing sunglasses, wearing of scarf in the eyes and … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 6,777 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMass Classification in Digital Mammograms based on Discrete Shearlet TransformJ. Amjath Ali, J. JanetThe most significant health problem in the world is breast cancer and early detection is the key to predict it. Mammography is the most reliable method to diagnose breast cancer at the earliest. The classification of the two most findings in the digital mammograms, micro calcifications and mass are valuable for early detection. Since, the appearance of the masses are … …Journal of Computer Science, Vol. 9, Issue 6 · 1 Jun 2013 · 6,553 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFeature Fusion Technique for Colour Texture Classification System Based on Gray Level Co-occurrence MatrixA. Suresh, K. L. ShunmuganathanIn this study, an efficient feature fusion based technique for the classification of colour texture images in VisTex album is presented. Gray Level Co-occurrence Matrix (GLCM) and its associated texture features contrast, correlation, energy and homogeneity are used in the proposed approach. The proposed GLCM texture features are obtained from the original colour texture as well as the first non … …Journal of Computer Science, Vol. 8, Issue 12 · 5 Jan 2013 · 6,619 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEnhanced Ensemble Prediction Algorithms for Detecting Faulty Modules in Object Oriented Systems Using Quality MetricsM. Punithavalli, C. NeelamegamThe high usage of software system poses high quality demand from users, which results in increased software complexity. To address these complexities, software quality engineering methods should be updated accordingly and enhance their quality assuring methods. Fault prediction, a sub-task of SQE, is designed to solve this issue and provide a strategy to identify faulty parts of a program, so … …Journal of Computer Science, Vol. 8, Issue 12 · 20 Dec 2012 · 6,438 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRecognition of Hindi (Arabic) Handwritten NumeralsRawan I. Zaghloul, Dojanah M.K. Bader Enas, F. AlRawashdehRecognition of handwritten numerals has been one of the most challenging topics in image processing. This is due to its contributions in the automation process in several applications. The aim of this study was to build a classifier that can easily recognize offline handwritten Arabic numerals to support those applications that are deal with Hindi (Arabic) numerals. A new algorithm … …American Journal of Engineering and Applied Sciences, Vol. 5, Issue 2 · 1 Aug 2012 · 8,180 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImproving the Attack Detection Rate in Network Intrusion Detection using Adaboost AlgorithmP. Natesan, P. Balasubramanie, G. GowrisonProblem statement: Nowadays, the Internet plays an important role in communication between people. To ensure a secure communication between two parties, we need a security system to detect the attacks very effectively. Network intrusion detection serves as a major system to work with other security system to protect the computer networks. Approach: In this article, an Adaboost algorithm for network … …Journal of Computer Science, Vol. 8, Issue 7 · 16 May 2012 · 7,465 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFault Detection and Classification in Power Electronic Circuits Using Wavelet Transform and Neural NetworkVenugopal Prasannamoorthy, Nanjundappan DevarajanProblem statement: The identification of faults in any analog circuit is highly required to ensure the reliability of the circuit. Early detection of faults in a circuit can greatly assist in maintenance of the system by avoiding possibly harmful damage borne out of the fault. Approach: A novel method for establishing a fault dictionary using Wavelet transform is presented. The … …Journal of Computer Science, Vol. 7, Issue 1 · 15 Jan 2011 · 8,419 accessesView PDFCite
Research ArticleOpen accessIn the keywordsClassical Flexible Lip Model Based Relative Weight Finder for Better Lip Reading Utilizing Multi Aspect Lip GeometryB. Sujatha, T. SanthanamProblem statement: Deaf and dumb needs assistance from a technical box that takes movements of lips to identify the words. This technical article provided appropriate model implementation of flexible lip model for better visual lip reading system. Approach: From the frame sequence of words, Active Shape Model (ASM) based lip model provided local tracking and extraction of geometric lip-feature. Two … …Journal of Computer Science, Vol. 6, Issue 10 · 30 Jul 2010 · 7,131 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOff-Line Signature Authentication Based on Moment Invariants Using Support Vector Machinek. R. Radhika, M. K. Venkatesha, G. N. SekharProblem statement: The research addressed the computational load reduction in off-line signature verification based on minimal features using bayes classifier, fast Fourier transform, linear discriminant analysis, principal component analysis and support vector machine approaches. Approach: The variation of signature in genuine cases is studied extensively, to predict the set of quad tree components in a genuine sample for one person … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 7,246 accessesView PDFCite