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276 articles for “Accuracy”
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Identifying Number Plates using Feature Extraction
Abstract: A number plate can be recognized completely only when the number plate on the vehicle is neither broken nor deliberately mutilated. This pose a hinderance in recognizing these types of plates. In order to overcome this problem, one has to either compare the characters recognized from the broken plate or directly compare the features of the given plate to the database. This helps in reducing time and space complexity. Various …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 2, 2019 · pp. 20–26 Read article
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A Simple and Fast Skull Stripping Technique for Brain MR Images
Abstract: Skull stripping is an important aspect of study in the field of Medical image processing. It eliminates the present non-cerebral tissues from the MR image to improve the speed and accuracy of the algorithm. An unsupervised double segmentation based method has been proposed for faster processing. Threshold values required for double segmentation are obtained using the Otsu algorithm. This method avoids the conventional Morphological Opening and Morphological Closing operations to …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 1, 2020 · pp. 1–4 Read article
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Facial Expression Classification using Multi-Scale Histogram of Oriented Gradients
Abstract: An automatic facial expression classification method, based on multiscale Histogram of Oriented Gradients (HOG) features extracted from sub-facial image patches, is proposed in this paper. A number of multiclass Support Vector Machines (SVM) are designed using the multiscale HOG features for classifying six basic facial expressions for frontal face images. The proposed method, with a simple design and few training data, achieves descent classification accuracy at a very low computational …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 1, 2020 · pp. 5–13 Read article
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Facial Image Analysis for Identification of Gender: A Machine Learning based Approach
Abstract: Facial biometrics for gender classification is known to significantly improve the efficiency of person identification in biometric access control models. It not only increases the speed but also improves the accuracy. It reduces the effort of finding a match for a face in the databases to almost a half. The process like any pattern recognition framework needs to extract the useful features. A novel gender identification algorithm is proposed which …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 1, 2021 · pp. 23–29 Read article
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Using Image Feature Selection through Deep Salient Region Detection Using Canny Edge Detection Framework
Abstract: Salient object identification has received a lot of attention recently in computer vision because it offers quick solutions to several challenging procedures. It first identifies the scene's most prominent and attention-grabbing object, after which it segments the object's entire extent. The perception and processing of visual input is linked to visual saliency. This proposed work focuses on several convectional saliency detection methods that are useful in a variety of applications …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 8–21 Read article
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Fuzzy and Intuitionistic Fuzzy Operators with Applications in Breast Tumor Classification
Abstract: Breast Cancer accounting for 14% of all cancers in women is the most familiar cancer among women in India. According to GLOBOCON data 2018, 1,62,468 new cases and 87,090 demises were accounted for breast cancer in India. The incidence rate of breast cancer starts rising in the early 30s and reaches a peak at the age of 50–64 years. In general, 1 in 28 women will develop breast cancer at …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 35–46 Read article
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Criminal Face Identification Using Deep Learning and Machine Learning
Abstract: Criminal face identification is a crucial task for law enforcement agencies to prevent and solve crimes. The traditional methods for identifying criminals using human expertise and eyewitness testimonies have several limitations, such as subjectivity, inaccuracy, and unreliability. Machine learning and deep learning techniques have yielded promising gains in facial recognition and identification applications in recent years. In this study, we propose a criminal face identification system that combines machine learning …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 28–34 Read article
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Crop Disease Classification and Detection Using Deep Learning Approach
Abstract: Early diagnosis of plant diseases is essential because they have an effect on the evolution of their unique species. For the identification and classification of plant diseases, a variety of Machine Learning (ML) models have been employed, but with the advent of Deep Learning (DL), a subset of ML, this area of research now seems to offer substantial potential for increased accuracy. The 4th most common staple food consumed worldwide …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 22–27 Read article
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A Comprehensive Analysis of Context-aware Recommender Systems Implemented Across a Range of Domains
Abstract: In many different fields, recommender systems are essential for helping users find pertinent and personalized material. Traditional recommender systems often underestimate the impact of contextual factors on user preferences. Context-aware recommender systems are a potential method that uses dynamic contextual data to increase recommendation accuracy and user satisfaction. This review paper examines the benefits of context-aware recommender systems in many fields and offers a detailed analysis of these systems. We …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 9–19 Read article
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Electrical Characteristics of a Solar Cell/PV Module
Abstract: Conventionally, a PV system consists of solar PV arrays and electric converters. A PV array is formed by series/parallel combination of solar modules. Some operating conditions result in non-uniform irradiance of PV array, such as shadows, clouds, dirt, debris, bird droppings, different orientations and tilts, and so on. If several solar cells in a series PV module are mismatched due to non-uniform irradiance, these cells will limit the output current …
Published in International Journal of Analog Integrated Circuits · Vol. 3, Issue 2, 2017 · pp. 25–35 Read article
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A Review of Different Iris Recognition Systems
Abstract: Recognition of a person based on the iris structure has become a trending authentication method. Iris recognition systems have many advantages as compared to other authentication methods such as accuracy, reliability and uniqueness and hence it is used in many applications. The main applications are, access control in laboratories and factories, identification for Automatic Teller Machines (ATMs), banks etc., border control in airports and harbors. This paper deals with the …
Published in International Journal of Analog Integrated Circuits · Vol. 4, Issue 2, 2018 · pp. 16–22 Read article
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A Complexity in Design of Cyber-Physical Systems: Context framework
Abstract: Cyber-bodily structures play a key role in a huge quantity of application domain names which include transportation, energy, health and nicely-being, manufacturing, and indeed as a part of clever infrastructures and towns—consequently now not best referring to business domain names. This paper makes a specialty of the complexity of destiny CPS, intuitively interpreted as a machine feature making it tough, and sometimes even not possible, as it should be predicted …
Published in International Journal of Analog Integrated Circuits · Vol. 6, Issue 2, 2020 · pp. 1–10 Read article
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Real Time Face Mask Detection with Deep Learning
Abstract: The pandemic because of COVID-19 needs no introduction. An all-too-important and successful weapon against it has been the utilization of face masks. A special technique is presented in this paper for detecting automatically whether someone is wearing a mask or not, contingent on the machine learning technique. The findings can be utilized by authorities to warn or fine people for not wearing mask, especially at public places. This work relies …
Published in International Journal of Analog Integrated Circuits · Vol. 7, Issue 1, 2021 · pp. 8–14 Read article
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Convolution Neural Network Model to Classify Photo Gallery on an Android Device
Abstract: The classification of images is a classic topic in the domains of image processing, computer vision, and machine learning. Convolution Neural Networks, a sort of deep learning that falls under the Machine Learning sub-domain, have been used in this model. This model was inspired by the problem that students experience at the end of the academic year is that their phones become cluttered with photos from various sources. The aim …
Published in International Journal of Analog Integrated Circuits · Vol. 8, Issue 1, 2022 · pp. 9–17 Read article
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Laser Communication in Developed and Developing Countries
Abstract: Laser technology is finding widespread use nowadays in the field of communication. The use of Laser technology in communication is a matter of research today as it can prove to be beneficial in the areas such as speedy transfer, secured, and bandwidth problems as in the case of radiofrequency transmission. Using this technology the problem of radio interference can be overcome as the data transmission is through optical communication. This …
Published in International Journal of Broadband Cellular Communication · Vol. 7, Issue 1, 2021 · pp. 1–8 Read article
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A Comparative Study Of RCNN, YOLO V3-Tiny and YOLO V5 Object Classification Architectures for Accurate Object Classification in Military Domain
Abstract: Late advances in object distinguishing proof computations consolidate speedy and faster RCNN whichmade the ID times also low with high accuracy. In this paper, we demonstrate the reliability of asuggested computation that employs RPN (Region Suggestion Associations) and Fast RCNN (RegionbasedConvolutional Neural Networks) for the distinguishing proof. The RPN gives region suggestionsfrom that we give the ROI (Regions of Interest) as commitment to the RCNN association, it will ingeneral be …
Published in International Journal of Broadband Cellular Communication · Vol. 7, Issue 1, 2021 · pp. 19–37 Read article
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Performance Comparison of Handwritten Digit Recognition Using Machine Learning Techniques
Abstract: Handwritten pattern, character and digit recognition has always been the most demanding and interesting fields of image processing. The objective of this work is representing and demonstrating the algorithms which are used to recognize handwritten digits. Recognition of handwritten digits has always a bit complex, but it is mostly used in various day-to-day applications. In the task of recognition, the digits are not correctly or accurately scripted or written as …
Published in International Journal of Digital Communication and Analog Signals · Vol. 7, Issue 1, 2021 · pp. 9–18 Read article
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Hamming Coded Watermarking for Image Authentication and Evaluation by Image Transmission using Digital Modulation Schemes
Abstract: Proposed watermarking scheme for image authentication and tampered detection. Here, image encoded with a message is generated, after embedding watermark symbol within a colour cover image. The message information is converted to hexadecimal values from its ASCII representation. To encode this and embed the watermark, (7, 4) Hamming code is used. These bits will be divided into 7-bit blocks which will spread across the width of the image. The proposed …
Published in International Journal of Digital Communication and Analog Signals · Vol. 7, Issue 2, 2021 · pp. 24–30 Read article
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Semantic Segmentation for Object Detection in Videos using Mask RCNN
Abstract: The segmentation of object instances is an essential step in real-time video detection. Object detection is the problem of detecting the information of all types of items in an image by designating their location with a rectangular box. Using its remarkable feature-learning capabilities, deep learning promotes object detection research. Numerous researchers have utilised various machine learning algorithms for object detection and have focused on enhancing the accuracy of feature extraction. …
Published in International Journal of Digital Communication and Analog Signals · Vol. 8, Issue 2, 2022 · pp. 7–15 Read article
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A Report on Testing and Commissioning Of Automatic Meter Reading System in Electrical Substations
Abstract: The Automatic Meter Reading (AMR) system has been introduced in the power sector in order to automate the metering system and also to provide real time data with accuracy. In the sense, consider a person visiting each and every substation to collect the readings in a particular region or number of persons deployed to collect the readings in many substations in many regions. Both will be considered as a waste …
Published in International Journal of Electrical Power System and Technology · Vol. 1, Issue 2, 2015 · pp. 24–81 Read article