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Research ArticleOpen accessIn the keywordsThe Extract Region of Interest in High-Resolution Palmprint using 2D Image Histogram Entropy FunctionInass Shahadha Hussein, Shamsul Bin Sahibuddin, Md Jan Nordin, Nilam Nur AmirThe segmentation of high-resolution palmprint is has been challenged and the research in this filed is still limited because of variations in location and distortion of these images. To achieve superior recognition result, accurate segmentation of a region of interest is very crucial. Therefore, in this paper, a novel palmprint extraction method has been presented using a 2D image histogram … …Journal of Computer Science, Vol. 15, Issue 5 · 8 May 2019 · 7,652 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEvaluating the Performance of Libyan Banks Using Return on InvestmentKhalad M.S. Alrafadi, Mazila Md-YusufReturn on Investment (ROI) is a financial ratio which commonly used to evaluate the overall performance of a company. Despite of the importance of ROI unfortunately not many Libyan banks use it to evaluate their performance. Most of Libyan banks use the result of income statements to evaluate their performance instead of other tools that use to evaluate performance of … …American Journal of Economics and Business Administration, Vol. 5, Issue 2 · 6 Jan 2014 · 7,180 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMEDICAL IMAGE COMPRESSION TECHNIQUE USING LISTLESS SET PARTITIONING IN HIERARCHICAL TREES AND CONTEXTUAL VECTOR QUANTIZATION FOR BRAIN IMAGESS. Sridevi, V. R. VijayakumarA hybrid image compression techniques has been developed to compress medical images. Due to the extensive use of medical images like CT and MR scan, these medical imagery are stored for a longer period for the continuous monitoring of the patients and the amount of data associated with images is large and it occupies enormous storage capacity. So, the medical … …Journal of Computer Science, Vol. 9, Issue 9 · 6 Aug 2013 · 7,194 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAutomatic Target Recognition in Cluttered Visible ImageryM. Jasmine Pemeena Priyadarsini, K. Murugesan, Srinivasa Rao Inbathini et al.Detection of a target from among similar/dissimilar targets in a cluttered image is vital in automatic target recognition. A MACH filter is used for the target detection in cluttered imagery. The cluttered images are correlated using the filter formulated from training images. The target is expected to be detected in the first highest peak. MACH was assumed as an optimum … …Journal of Computer Science, Vol. 9, Issue 5 · 21 May 2013 · 6,925 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMedical Image Compression with Lossless Region of Interest Using Adaptive Active ContourR. Loganathan, Y. S. KumaraswamyProblem statement: With increasing bandwidth, digital medical image storage and transmission is a boon to patients and health professionals alike. Medical images are available instantly and avoid the need to carry the data physically. Popular imaging techniques extensively used in medicine include X-Ray, Magnetic Resonance Imaging (MRI), Ultrasound and Computed Tomography (CT). The images produced from the above techniques can … …Journal of Computer Science, Vol. 8, Issue 5 · 1 Mar 2012 · 7,723 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDeveloping Community Health Conditions for Happiness, Phase 1Chalard ChantarasombatProblem statement: Complete health of physical, social and intellectual development is an appropriate plan of human development and raises the quality of life in communities. If the development plan is integrated into the local community it will create peace and generosity. Good health is also fundamental to sustainable development which will create a peaceful society where community members are happy … …Journal of Social Sciences, Vol. 7, Issue 4 · 21 Oct 2011 · 7,839 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImplementation of Computer Aided Diagnosis System Based on Parallel Approach of Ant Based Medical Image SegmentationJayabalan Jaya, Keppanagowder ThanushkodiProblem statement: The aim of this study is to develop Computer Aided Diagnosis (CAD) system for the detection of brain tumor by using parallel implementation of ACO system for medical image segmentation applications due to the rapid execution for obtaining and extracting the Region of Interest (ROI) from the images for diagnostic purposes in medical field. Approach: For ROI segmentation, … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 8,130 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCorrelation Based ADALINE Neural Network for Commodity TradingJ. Chandra, M. Nachamai, Anitha S. PillaiCommodity trading is one of the most popular resources owning to its eminent predictable return on investment to earn money through trading. The trading includes all kinds of commodities like agricultural goods such as wheat, coffee, cocoa etc. and hard products like gold, rubber, crude oils etc.,. The investment decision can be made very easily with the help of the … …Journal of Computer Science, Vol. 11, Issue 7 · 29 Oct 2015 · 7,825 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPALMPRINT VERIFICATION USING INVARIANT MOMENTS BASED ON WAVELET TRANSFORMInass SH. Hussein, Md Jan NordinData security is one of the important issues among computer users. Data security can prevent fraudulent users from accessing an individual's personal data. The biometrics recognition as one of the most important parts in the security of the data and the application of computer vision. The biometrics is the authentication method used in a wide variety of applications such as … …Journal of Computer Science, Vol. 10, Issue 8 · 7 Mar 2014 · 6,492 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMedical Image Compression Using Fuzzy C-Means Based Contourlet TransformM. Tamilarasi, V. PalanisamyProblem statement: To meet the demand for high speed transmission of image in efficient image storage and remote medical treatment, the efficient image compression is essential. The contourlet transform along with wavelet theory has great potential in medical image compression. Approach: The significant portion of the medical image applied with Fuzzy C-means based contourlet transform. DWT applied to the rest … …Journal of Computer Science, Vol. 7, Issue 9 · 25 Jul 2011 · 7,082 accessesView PDFCite