Search results for: featureextraction

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featureextraction</title> <meta name="description" content="Search results for: featureextraction"> <meta name="keywords" content="featureextraction"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="featureextraction"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 3</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: featureextraction</h1> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3</span> An Efficient Feature Extraction Algorithm for the Recognition of Handwritten Arabic Digits</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Ahmad%20T.%20Al-Taani">Ahmad T. Al-Taani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, an efficient structural approach for recognizing on-line handwritten digits is proposed. After reading the digit from the user, the slope is estimated and normalized for adjacent nodes. Based on the changing of signs of the slope values, the primitives are identified and extracted. The names of these primitives are represented by strings, and then a finite state machine, which contains the grammars of the digits, is traced to identify the digit. Finally, if there is any ambiguity, it will be resolved. Experiments showed that this technique is flexible and can achieve high recognition accuracy for the shapes of the digits represented in this work. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Digits%20Recognition" title="Digits Recognition">Digits Recognition</a>, <a href="https://publications.waset.org/search?q=Pattern%20Recognition" title=" Pattern Recognition"> Pattern Recognition</a>, <a href="https://publications.waset.org/search?q=FeatureExtraction" title=" FeatureExtraction"> FeatureExtraction</a>, <a href="https://publications.waset.org/search?q=Structural%20Primitives" title=" Structural Primitives"> Structural Primitives</a>, <a href="https://publications.waset.org/search?q=Document%20Processing" title=" Document Processing"> Document Processing</a>, <a href="https://publications.waset.org/search?q=Handwritten%20Recognition" title="Handwritten Recognition">Handwritten Recognition</a>, <a href="https://publications.waset.org/search?q=Primitives%20Selection." title=" Primitives Selection."> Primitives Selection.</a> </p> <a href="https://publications.waset.org/274/an-efficient-feature-extraction-algorithm-for-the-recognition-of-handwritten-arabic-digits" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/274/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/274/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/274/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/274/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/274/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/274/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/274/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/274/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/274/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/274/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/274.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">2642</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Identification of Cardiac Arrhythmias using Natural Resonance Complex Frequencies</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Moustafa%20A.%20Bani-Hasan">Moustafa A. Bani-Hasan</a>, <a href="https://publications.waset.org/search?q=Yasser%20M.%20Kadah"> Yasser M. Kadah</a>, <a href="https://publications.waset.org/search?q=Fatma%20M.%20El-Hefnawi"> Fatma M. El-Hefnawi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> An electrocardiogram (ECG) feature extraction system based on the calculation of the complex resonance frequency employing Prony-s method is developed. Prony-s method is applied on five different classes of ECG signals- arrhythmia as a finite sum of exponentials depending on the signal-s poles and the resonant complex frequencies. Those poles and resonance frequencies of the ECG signals- arrhythmia are evaluated for a large number of each arrhythmia. The ECG signals of lead II (ML II) were taken from MIT-BIH database for five different types. These are the ventricular couplet (VC), ventricular tachycardia (VT), ventricular bigeminy (VB), and ventricular fibrillation (VF) and the normal (NR). This novel method can be extended to any number of arrhythmias. Different classification techniques were tried using neural networks (NN), K nearest neighbor (KNN), linear discriminant analysis (LDA) and multi-class support vector machine (MC-SVM). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Arrhythmias%20analysis" title="Arrhythmias analysis">Arrhythmias analysis</a>, <a href="https://publications.waset.org/search?q=electrocardiogram" title=" electrocardiogram"> electrocardiogram</a>, <a href="https://publications.waset.org/search?q=featureextraction" title=" featureextraction"> featureextraction</a>, <a href="https://publications.waset.org/search?q=statistical%20classifiers." title=" statistical classifiers."> statistical classifiers.</a> </p> <a href="https://publications.waset.org/5009/identification-of-cardiac-arrhythmias-using-natural-resonance-complex-frequencies" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/5009/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/5009/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/5009/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/5009/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/5009/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/5009/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/5009/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/5009/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/5009/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/5009/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/5009.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">2075</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> An Automated Method to Segment and Classify Masses in Mammograms</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Viet%20Dzung%20Nguyen">Viet Dzung Nguyen</a>, <a href="https://publications.waset.org/search?q=Duc%20Thuan%20Nguyen"> Duc Thuan Nguyen</a>, <a href="https://publications.waset.org/search?q=Tien%20Dzung%20Nguyen"> Tien Dzung Nguyen</a>, <a href="https://publications.waset.org/search?q=Van%20Thanh%20Pham"> Van Thanh Pham</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Mammography is the most effective procedure for an early diagnosis of the breast cancer. Nowadays, people are trying to find a way or method to support as much as possible to the radiologists in diagnosis process. The most popular way is now being developed is using Computer-Aided Detection (CAD) system to process the digital mammograms and prompt the suspicious region to radiologist. In this paper, an automated CAD system for detection and classification of massive lesions in mammographic images is presented. The system consists of three processing steps: Regions-Of- Interest detection, feature extraction and classification. Our CAD system was evaluated on Mini-MIAS database consisting 322 digitalized mammograms. The CAD system-s performance is evaluated using Receiver Operating Characteristics (ROC) and Freeresponse ROC (FROC) curves. The archived results are 3.47 false positives per image (FPpI) and sensitivity of 85%. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=classification" title="classification">classification</a>, <a href="https://publications.waset.org/search?q=computer-aided%20detection" title=" computer-aided detection"> computer-aided detection</a>, <a href="https://publications.waset.org/search?q=featureextraction" title=" featureextraction"> featureextraction</a>, <a href="https://publications.waset.org/search?q=mass%20detection." title=" mass detection."> mass detection.</a> </p> <a href="https://publications.waset.org/5514/an-automated-method-to-segment-and-classify-masses-in-mammograms" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/5514/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/5514/bibtex" target="_blank" rel="nofollow" class="btn 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Search results for: featureextraction