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211 articles for “Principal Component”
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Comparative Review on Image Fusion Techniques
Abstract: The goal of image fusion is to combine relevant information from two or more images of the same scene of the different times. The result of image fusion is a new fused image which is more suitable for human being and machine discernment for further image-processing tasks like segmentation, feature taking out and object recognition. Image fusion is the combination of two or more different images to form a new …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 1, Issue 3, 2014 · pp. 10–13 Read article
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Pair of Retina Recognition System Using Hopfield Neural Network Algorithm
Abstract: process of pair of retina recognition system using feature fusion method has been proposed in this paper. Left and right retinal images of human have been used for the inputs of this retinal recognition system. Wavelet based retinal image pre-processing technique has been applied to process the retina images. After extracting the features from the left and right retinal images, features are concatenated using feature fusion technique. Principal Component Analysis …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 41–45 Read article
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An Approach of Multi-modal Biometric Iris and Speech based Person Recognition System with Decision Fusion Technique
Abstract: This paper presents a unique approach of multi-modal iris and speech feature based person recognition system. Iris images and speech signals are taken from CASIA iris database and NOIZEUS speech database respectively. Iris features are extracted after applying iris images noise removing and image pre-processing techniques. On the other hand, speech signal noise removing, start-end points detection algorithm, silence parts removal, windowing and feature extraction techniques are applied to extract …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 2, Issue 2, 2015 · pp. 5–10 Read article
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Performance Evaluation of PCA Based Back Propagation over PCA Based Euclidian Distance for Video Images
Abstract: Key frame selection aims at reducing amount of data and retrieve information desired from a video. Video summarization aims at reducing the amount of data in order to retrieve information from a video. In this paper, we present an innovative approach for key frame selection; and a face detection and recognition from video sequence. For face detection from video, first we select the key frames and then detect multiple faces …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 24–31 Read article
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Facial Recognition Based Attendance System
Abstract: In today’s fast paced world, for an organization with around 500 employees, a manual attendance system is highly inefficient and time consuming. Traditional methods of automatic attendance systems like fingerprint, RFID or iris scans are easy to bypass, as the biometric features, such systems take into consideration are far less than facial features. Our facial recognition system is used to detect a person’s face and then compare it with the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 43–49 Read article
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Bangla Handwritten Digit and Basic Letter Recognition Using Machine Learning Techniques
Abstract: AbstractThe usage of computer is increasing day by day in Bangladesh, so the use of Bangla is increasing in computer. Furthermore, the use of Bangla handwritten character is also increasing in many computer applications. There exist many techniques for recognition of handwritten character. From the studies we see that machine learning techniques are better techniques for recognition of handwritten character than others. A necessary prerequisite for measuring the performance of …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 3, 2016 · pp. 1–15 Read article
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Review on Various Image Fusion Techniques
Abstract: Recently the wide research field in image processing is image fusion. Combining of all the information and data from all the images without any ruin of information and distortion is image fusion. To obtain an image having all the relevant features at focus is not easy, so getall the feature in single image is obtained by fusing the images with different techniques. This paper describe the brief survey of the …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 2, 2018 · pp. 14–17 Read article
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A Hybrid Image Codec Using Singular Value Decomposition and Adaptively Scanned Wavelet Difference Reduction Method
Abstract: AbstractIn this paper, a hybrid image codec for the gray scale images is proposed. It practices singular value decomposition (SVD) and adaptively scanned wavelet difference reduction (ASWDR) technique for compression. The proposed hybrid method retains the advantage of high peak signal to noise ratio (PSNR) value at a level of compression. The image is first compressed by SVD, which is a well-established approach to removing interpixel redundancies for reducing some …
Published in Journal of Open Source Developments · Vol. 4, Issue 1, 2017 · pp. 4–15 Read article
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A PCA Based K-Means Clustering Algorithm for Wireless Sensor Nodes
Abstract: This paper presents a novel and improved approach for K-Means Clustering of wireless sensor networks, by using Principal Component Analysis for data reduction on the raw data. A wireless sensor network consisting of 100 nodes is classified into three different clusters using PCA based K-Means Algorithm. Davies-Bouldin Index is used as a parameter to check the effectiveness of the clustering algorithm. Experimental results demonstrate that the PCA based K-Means Algorithm …
Published in Journal of Web Engineering & Technology · Vol. 2, Issue 2, 2015 · pp. 6–10 Read article
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A Review of Code Defect Likelihood Using ML Methods
Abstract: AbstractSoftware begets defects and defects are inevitable in software design and coding. This paper focused on five machine learning analysis models (MLAM); Support Vector Machine, Random Forest, K-Nearest Neighbor, Classification and Regression Tree, and Linear Discriminant Analysis. These models are trained to detect software defects using the software defect dataset from Promise data repository. The collected dataset is preprocessed to reduce the amount of redundant features using a dimension reduction …
Published in Journal of Open Source Developments · Vol. 7, Issue 3, 2020 · pp. 1–6 Read article
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Indian Currency Recognition using Image Processing - A survey
Abstract: AbstractCurrency has the crucial role as a medium of exchange in which governments of many countries introduce it as banknotes and coins that is Indian Rupees. The technology of currency recognition aims for efficient classification of currency. In this project, we are basically detecting whether the currency is real or fake because for humans, after the circulation of currency, it becomes difficult to differentiate between the original and fake currency. …
Published in Journal of Web Engineering & Technology · Vol. 6, Issue 3, 2019 · pp. 6–10 Read article
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Big Data Dimensionality Reduction Technique with Deep Autoencoder
Abstract: Dimensionality reduction refers to the act of narrowing the focus from an abundance of potential variables to a more manageable set. Google created the open-source Flutter framework for creating mobile apps. The issue of high-dimensional data hindered the system's effectiveness in terms of providing correct findings (the quantity of false-positive, negative, true-positive, and negative outcomes). The process of solving a classification problem, carrying out a precise visualization, and transmitting vast …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 2, 2023 · pp. 1–13 Read article
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SYNERGISTIC FUSION OF HYPERSPECTRAL AND HIGH RESOLUTION IMAGE FOR IMPROVING PERFORMANCE AND RELIABILITY OF AUTOMATICALLY EXTRACTED URBAN FEATURES
Abstract: Image fusion is a generic word referring to several techniques of digital image processing which are used to integrate data from different spatial and spectral resolutions in order to obtain higher-quality synthetic images. This paper emphasizes the assessment and systematic analysis of image fusion techniques by measuring the quantity of enhanced information in fused images. EO1- Hyperion and IKONOS (MSS+PAN) have been fused using Principal component analysis, Gram-Schmidt Transformation (GST) …
Published in Journal of Remote Sensing & GIS · Vol. 1, Issue 1, 2010 · pp. 1–11 Read article
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Optimization of Microbial Cellulose Production by the Newly Isolated Acetobacter sp. DR-1 under Laboratory Conditions
Abstract: Cellulose is the most abundant natural biopolymer on the earth, synthesized by plants, algae and also some species of bacteria. It is also produced by some animals (e.g., tunicates).Cellulose constitutes one of the three principal components present in plant, namely cellulose, hemi-cellulose and lignin. However, the degree of polymerization and crystallinity of bacterial cellulose is considerable high than that of plant cellulose. In microbes, cellulose is normally produced as exo-polysaccharide, …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 1, Issue 1, 2011 · pp. 108–114 Read article
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Characterization and Quality Assessment of Roof Top Harvested Stormwater from four Storage Media in Otukpa, Ogbadibo Local Government Area of Benue State-Nigeria
Abstract: Roof top harvested storm water (RTHSW) from four storage media; Open concrete media (OCM), closed concrete media (CCM), Native pot media (NPM) and Plastic media (PM) used in Ogbadibo LGA of Benue State Nigeria were examined using Spectrophotometric methods, Water quality index (WQI), and multivariate analysis (PCA) performed on the concentration of the water quality parameters for assessment of pollution levels. The test of significance shows high - low positive …
Published in Journal of Water Pollution & Purification Research · Vol. 10, Issue 2, 2023 · pp. 93–105 Read article
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A Profound Analysis on Complex Multiclass BCI Signals Classification by an EEG Device
Abstract: With a major shift in the technology paradigm today in the area of deep learning and artificial intelligence, one of its important applications today is found in brain-computer interface (BCI). Brain computer-interface, also known as neural control interface or mind-machine interface is a device that helps a user to interact with a computer using only his brain-activity, which is measured usually by Electroencephalography (EEG). The usage of such mechanism has …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 8, Issue 1, 2021 · pp. 22–44 Read article
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Surveying the Landscape of Car Accident Informer Systems: A Comprehensive Review
Abstract: Road safety is a critical concern in the modern world, where advancements in technology have made our lives easier but have also given rise to increased traffic hazards and road accidents. The "Car Accident Detector and Informer" project is an innovative system aimed at enhancing road safety by accurately detecting and informing about car accidents in real-time. This project integrates advanced sensors, microcontroller technology, and communication protocols to create an …
Published in Journal of Remote Sensing & GIS · Vol. 14, Issue 2, 2023 · pp. 19–28 Read article
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Morphological Characterization of Two Species of the Freshwater Fish Genus Dawkinsia (Osteichthyes: Cyprinidae), with Emphasis on Stream Habitat Characteristics
Abstract: AbstractMacro and microhabitat analyses were carried out for two cyprinid fishes of Dawkinsia sp., (D. filamentosa and D. tambraparniei) from the two selected rivers of South Indian river system (Thalayanai and Gadana). Macrohabitat features such as habitat structure and types; and microhabitat features such as stream depth, width, riparian cover, instream cover and substrates were studied. Suitable microhabitats for D. filamentosa were shallow, marginal waters of rivers and for D. …
Published in Research & Reviews : Journal of Ecology · Vol. 5, Issue 3, 2016 · pp. 8–21 Read article
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Dimensionality Reduction: A Brief Survey on Its Myriad Techniques
Abstract: This paper is a short survey and analysis on different techniques and methods using which efficiency of existing techniques can be improved which are used for data exploration, or search for those features which has deeper relationship amongst the variable, which relies on greater extent on visual methods. However, for multidimensional data set with real time data collected captured using sensors or real time applications, redundant and unused or wanted …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 6, Issue 2, 2017 · pp. 46–51 Read article
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Review on Wired and Wireless Solar Mobile Charger
Abstract: The paper presents solar mobile chargers its principle, components, working, application, social need, efficiency, and cost and covers other parameters also. We review the process of making solar mobile chargers and how it can overcome the common people problems which are arising due to its battery and its charging process. By using solar energy on mobile chargers, we can save electricity which comes through non-renewable energy resources, it will help …
Published in Research & Reviews : Journal of Physics · Vol. 11, Issue 3, 2022 · pp. 6–13 Read article