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218 results for “Feature Extraction”
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Research ArticleOpen accessIn the keywordsPerformance Comparison of Different Image Sizes for Recognizing Unconstrained Handwritten Tamil Characters using SVMN. Shanthi, K. DuraiswamyThis study describes a system for recognizing offline handwritten Tamil characters using Support Vector Machine (SVM). Data samples are collected from different writers on A4 sized documents. They are scanned using a flat bed scanner at a resolution of 300 dpi and stored as grey scale images. Various preprocessing operations are performed on the digitized image to enhance the quality … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 7,012 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAutomated Breast Cancer Diagnosis based on GVF-Snake Segmentation, Wavelet Features Extraction and Neural Network ClassificationAbderrahim Sebri, Jihène Malek, Rached TourkiBreast cancer accounts for the second most cancer diagnoses among women and the second most cancer deaths in the world. In fact, more than 11000 women die each year, all over the world, because this disease. The automatic breast cancer diagnosis is a very important purpose of medical informatics researches. Some researches has been oriented to make automatic the diagnosis … …Journal of Computer Science, Vol. 3, Issue 8 · 31 Aug 2007 · 7,414 accessesView PDFCite
Research ArticleOpen accessIn the keywordsLizard Learning Algorithm for Invariant Pattern RecognitionG. M. Rao, G. R. Babu, G. V. KumariResearches are keen to know astonishing and intricate details of the nature. Each creature has its own admiring abilities and performs their routine task in more efficient manner. The bug navigation system has drawn keen attention among research community to know how they are able to perform their routine task in utmost skillful manner. The lizard is capable of identifying … …Journal of Computer Science, Vol. 3, Issue 2 · 28 Feb 2007 · 7,495 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHuman Iris Recognition Based on Hybrid TechniqueAsaad Noori Hashim, Bushraa Mahdi Al-HashimiIris recognition is a biometric technique that uses iris pattern information to detect person identification. Initially, the system find out the boundary of the pupil and iris. Then, Circular Hough transform used to find out the center of both pupil and iris in order to crop iris part from the eye image. After that, Daugman’s Rubber Sheet model utilized for … …Journal of Computer Science, Vol. 15, Issue 12 · 4 Dec 2019 · 7,807 accessesView PDFCite
Research ArticleOpen accessIn the keywordsExtended Trigger Terms for Extracting Adverse Drug Reactions in Social Media TextsRami Naim Mohammad Yousef, Sabrina Tiun, Nazlia OmarAdverse Drug Reaction (ADR) is a disorder caused by taking medications. Studies have addressed extracting ADRs from social networks where users express their opinion regarding a specific medication. Extracting entities mainly depends on specific terms called trigger terms that may occur before or after ADRs. However, these terms should be extended, especially when examining multiple representation of N-gram. This study … …Journal of Computer Science, Vol. 15, Issue 6 · 29 Jun 2019 · 8,058 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHigh Precision Latent Semantic Evaluation for Descriptive Answer AssessmentAmarjeet Kaur, M. Sasi KumarThis paper proposes an approach to evaluate student’s descriptive answers, using comparison-based approach in which student’s answer is compared with the standard answer. The standard answers contains domain specific knowledge as per the category (how, why, what, etc.) of questions asked in the examination. Several state-of-art claims that LSA correlates with the human assessor’s way of evaluation. With this as … …Journal of Computer Science, Vol. 14, Issue 10 · 17 Oct 2018 · 7,256 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCorrelating and Modeling of Extracted Features from PVT Images of Composites using Optical Flow Technique and Weight Elimination Algorithm Optimization [OFT-WEA]Mahmoud Zaki IskandaraniA new approach to the use and implementation of Optical Flow technique is presented. The technique extracts features from presented images as a function of reference image and produces percentage of matching between the reference and tested images. The new approach in using Optical Flow lies in replacing the motion part of the algorithm with differential time related changes in … …Journal of Computer Science, Vol. 13, Issue 9 · 29 Sep 2017 · 7,328 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAutomatic Recognition System of Vehicle Plate for Recording Incoming Vehicles to the University Campus and the OutgoingA.A. El-Harby, G.M. Behery, A.A. Al-DhawiAutomatic recognition of vehicle plate characters became a very important in our daily life because of the unlimited increase of vehicles that enter or leave a supervised area. This paper describes an automatic intelligent system that captures the images of vehicles and has the ability to recognize the plates of vehicles entering the university campus or leaving. A camera is … …American Journal of Applied Sciences, Vol. 14, Issue 4 · 12 Apr 2017 · 7,682 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStatistical Parametric Evaluation on New Corpus Design for Malay Speech Articulation Disorder Early DiagnosisMohd Nizam Mazenan, Tan Tian Swee, Tan Hui Ru, Azran AzhimSpeech-to-Text or always been known as speech recognition plays an important role nowadays especially in medical area specifically in speech impairment. In this study, a Malay language speech-to-Text system was been designed by using Hidden Markov Model (HMM) as a statistical engine with emphasizing the way of Malay speech corpus design specifically for Malay articulation speech disorder. This study also … …American Journal of Applied Sciences, Vol. 12, Issue 7 · 4 Aug 2015 · 6,499 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA GAUSSIAN MIXTURE MODEL FOR CLASSIFYING THE HUMAN AGE USING DWT AND SAMMON MAPJ. Nithyashri, G. KulanthaivelThe appearance of a human face rigorously changes with respect to age that makes Age Classification as a more challenging task. The algorithms such as, K-Nearest Neighbor (K-NN), Support Vector Machine (SVM), Radial Basis Function (RBF), motivated many Face Researchers to focus their attention in classifying the human age into various age groups. The Classification rate produced by these existing … …Journal of Computer Science, Vol. 10, Issue 11 · 20 Dec 2014 · 7,714 accessesView PDFCite