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56 results for “Extraction Efficiency”
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Research ArticleOpen accessIn the abstractFINGER KNUCKLE-PRINT IDENTIFICATION BASED ON LOCAL AND GLOBAL FEATURE EXTRACTION USING SDOSTN. B. Mahesh Kumar, K. PremalathaFinger knuckle-print biometric system has widely used in modern e-world. The region of interest is needed as the key for the feature extraction in a good biometric system. The symmetric discrete orthonormal stockwell transform provides the computational efficiency and multi-scale information of wavelet transforms, while providing texture features in terms of Fourier frequencies. It outperforms leading wavelet-based texture analysis methods. … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 3 Apr 2014 · 6,927 accessesView PDFCite
Research ArticleOpen accessIn the abstractWAVELET BASED CONTENT BASED IMAGE RETRIEVAL USING COLOR AND TEXTURE FEATURE EXTRACTION BY GRAY LEVEL COOCURENCE MATRIX AND COLOR COOCURENCE MATRIXJeyanthi Prabhu, Jawahar Senthil KumarIn this study we proposes an effective content based image retrieval by color and texture based on wavelet coefficient method to achieve good retrieval in efficiency. Color feature extraction is done by color Histogram. The texture feature extraction is acquired by Gray Level Coocurence Matrix (GLCM) or Color Coocurence Matrix (CCM). This study provides better result for image retrieval by … …Journal of Computer Science, Vol. 10, Issue 1 · 7 Nov 2013 · 7,627 accessesView PDFCite
Research ArticleOpen accessIn the abstractANALYSIS OF INTELLIGENT DATA MINING FOR INFORMATION EXTRACTION USING JAVA AGENT DEVELOPMENT ENVIRONMENT PLATFORMM. Vinoth Kumar, G. Tholkappia Arasu, V. PalanisamyIn this study, the problem of unstructured information extraction has been analyzed and the need for a new Information Extraction algorithm is justified. We propose an Intelligent Information Extraction using Java Agent Development Environment (JADE) to be an optimal solution for intelligent information extraction. This proposed algorithm first assigns intelligent agents to gathering data, which they then classify, match and … …Journal of Computer Science, Vol. 9, Issue 11 · 20 Sep 2013 · 6,767 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign an Advance Computer-Aided Tool for Image Authentication and ClassificationRozita Teymourzadeh, Amirize Alpha Laadi, Yazan Samir Algnabi et al.Over the years, advancements in the fields of digital image processing and artificial intelligence have been applied in solving many real-life problems. This could be seen in facial image recognition for security systems, identity registrations. Hence a bottleneck of identity registration is image processing. These are carried out in form of image preprocessing, image region extraction by cropping, feature extraction … …American Journal of Applied Sciences, Vol. 10, Issue 7 · 24 Jun 2013 · 6,561 accessesView PDFCite
Research ArticleOpen accessIn the abstractFast Real Time Analysis of Web Server Massive Log Files using an Improved Web Mining ArchitectureC. Kavitha, Ramesh RajamanickamThe web has played a vital role to detect the information and finding the reasons to organize a system. As the web sites were increased, the web log files also increased based on the web searching. Our challenge and the task are to reduce the log files and classify the best results to reach the task which we used. Aimed … …Journal of Computer Science, Vol. 9, Issue 6 · 6 Jun 2013 · 6,340 accessesView PDFCite
Research ArticleOpen accessIn the abstractInfluence of Extraction Conditions on the Recovery of Phenolic Antioxidants from Spent Coffee GroundsAntonio Zuorro, Roberto LavecchiaThe extraction of phenolic compounds from Spent Coffee Grounds (SCG), a waste produced in large amounts worldwide, was investigated. SCG were rich in fiber and protein and had a total phenolic content of 18.75±0.43 mg GAE per gram dry weight. Extraction experiments were carried out in batch mode, using ethanol-water mixtures as solvent. A two-level factorial design was used to … …American Journal of Applied Sciences, Vol. 10, Issue 5 · 28 May 2013 · 8,798 accessesView PDFCite
Research ArticleOpen accessIn the abstractContent Based Medical Image Retrieval with Texture Content Using Gray Level Co-occurrence Matrix and K-Means Clustering AlgorithmsB. Ramamurthy, K. R. ChandranProblem statement: Recently, there has been a huge progress in collection of varied image databases in the form of digital. Most of the users found it difficult to search and retrieve required images in large collections. In order to provide an effective and efficient search engine tool, the system has been implemented. In image retrieval system, there is no methodologies … …Journal of Computer Science, Vol. 8, Issue 7 · 24 May 2012 · 7,448 accessesView PDFCite
Research ArticleOpen accessIn the abstractSegmentation of Ureteric and Bladder Calculi in Ultrasound ImagesS. SridharProblem statement: The framework for segmenting calculi in ureter and bladder using ultrasound images is proposed in this study. Calculi are due to abnormal collection of certain chemicals like oxalate, phosphate and uric acid. These calculi can be present in kidney, urethra or in urinary bladder. The extraction of calculi in medical images is a difficult task as no standard … …Journal of Computer Science, Vol. 8, Issue 5 · 27 Feb 2012 · 6,917 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Speaker Recognition System with Combined Feature Extraction TechniquesM. G. Sumithra, K. Thanuskodi, A. Helen Jenifer ArchanaProblem statement: This study introduces a new method for speaker verification system by fusing two different feature extraction methods to improve the recognition accuracy and security. Approach: The proposed system uses Mel frequency cepstral coefficients for speaker identification and Modified MFCC for verification. For speaker modeling vector quantization is used. Results: The proposed system was investigated the effect of the … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 7,424 accessesView PDFCite
Research ArticleOpen accessIn the abstractPhenanthrene Contaminated Soil Biotreatment Using Slurry Phase BioreactorM. Arbabi, M. Sadeghi, Ch. AnyakoraProblem Statement: Polycyclic Aromatic Hydrocarbons (PAHs) are suspected toxins that accumulate in soils and sediments due to their insolubility in water and lack of volatility. Slurry-phase biological treatment is one of the innovative technologies that involve the controlled treatment of excavated soil in a bioreactor. Due to highly soil contamination from petroleum compounds in crude oil extraction and also oil … …American Journal of Environmental Sciences, Vol. 5, Issue 3 · 30 Jun 2009 · 6,758 accessesView PDFCite