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1760 articles for “Application”
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Research Paper on Handwritten Character Recognition
Abstract: Handwriting recognition is the capacity of a machine to get and decipher penmanship contribution from numerous sources, for example, paper records, photos, touchscreen gadgets, and so on. Handwriting and automatic character recognition are an emerging area of research and find many applications in banks, offices and industries. The main objective of this project is to design an expert system capable of efficiently recognizing a format character of a particular type …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 1, 2021 · pp. 1–5 Read article
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Biometric Recognition with Iris Capturing Techniques
Abstract: The primary Iris acknowledgment appeared in 1995, the iris. As it utilizes human organ, Iris acknowledgment is viewed as a type of biometric confirmation. The Indian government likewise utilizes biometric frameworks for the recognizable proof of residents in various application territories like as rashan shop, Aadhar venture, in various government test structures and enlistment departments and so on. The inspiration driving the article is to give an audit of the …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 5–12 Read article
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A Report on Object Detection and Caption Generator
Abstract: Image Caption Generator is a application that generates captions for images. The image's semantic information is recorded and transformed into plain language. The capture mechanism is a timeconsuming effort that combines picture processing and computer vision. The mechanism must be capable of detecting and establishing links between items, humans, and animals. The goal of this article is to use deep learning to detect, recognize, and generate meaningful captions for a …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 13–36 Read article
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Investigation and Classification of Cardiac MRI Images using Texture Analysis
Abstract: In order to quantify the myocardial viability after infarction, recent researches have developed new cardiac MRI protocol using particle contrast agents which highlight the different areas after infarction: i.e. the healthy area, the necrosed area and the two ischemic areas. Actually the researches are carried out on rodents micro cardiac MRI for which the obtained images are very noisy and present a very low contrast. In this paper, we analyse …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 2, 2021 · pp. 37–41 Read article
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Future of Augmented and Virtual Reality in Our Social and Work Life
Abstract: The future technology is expected to change not only industrial services, but also our social and work life. At the moment, virtual reality and augmented reality are the two biggest technological trends. In the past few years, there is a growing number of low cost augmented and virtual reality devices being available to the general public. With this, there is a huge potential of such devices being an important part …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 1, 2022 · pp. 27–32 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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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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An In-depth Exploration: Unveiling the Computational Resources Utilized in Cancer Research
Abstract: It is a major challenge leading to mass morbidity and mortality in cancer, despite the efforts and clinical trials in the past. Cancer is a very crucial field of research that directly concerns human life that requires early identification, diagnosis, prognosis, and therapeutics. The resources and web servers play very important roles in cancer genomics and medical image analysis. Computational intelligence (is a set of computational methodologies involving design, application, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 10–20 Read article
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WINDOWS 10
Abstract: Windows 10 was a big change for Microsoft’s traditional operating system. Windows 10 introduces what Microsoft described as a "universal" application architecture. Windows 10 is configured to send various information to Microsoft and other parties, including the collection of user contacts, calendar data, and "associated input data" to personalize "speech, typing, and inking input", typing and inking data to improve recognition, allowing apps to use a unique "advertising ID" for …
Published in International Journal of Software Computing and Testing · Vol. 2, Issue 1, 2016 · pp. 13–17 Read article
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Virtual Machine-Based Task Scheduling Algorithm
Abstract: Cloud computing is a type of internet-based computing that provides shared computer processing resources and other devices on demand. It is very useful for the applications which sharing their resource on different nodes and also cloud computing has more scalability. The performance and efficiency of cloud computing always depends on the performance of user tasks. Virtualization concept was introduced to improve the efficiency of cloud computing. Virtualization refers to creating …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 1, 2017 · pp. 18–26 Read article
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A Study and Analysis Among Dijkstra’s Algorithm, Bellman–Ford Algorithm and Floyd’s Algorithm on Run-Time Basis Using Source Code
Abstract: Numerous applications like communication network and transportation use shortest path algorithm to notice the shortest path between two nodes. In the Single source shortest path algorithm, a shortest path is calculating from one node to another node. In the present paper, I have compared the results of the shortest path algorithms (Dijkstra, Bellman–Ford) on the basis of running time. I am using C# programming language to compare the algorithms. I …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 1, 2017 · pp. 60–70 Read article
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Character Recognition with Neural Network
Abstract: In this project artificial neural network has been called for its application as characters recognizing network. The network is made to learn as per the requirement by training them with some specific patterns that corresponds to the character. The number of input and output layer neurons is chosen. The training patterns and testing patterns are designed using matrices 0’s and 1’s.The weights in the network are adjusted using back propagation …
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 2, 2017 · pp. 32–37 Read article
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Continuous Mining Approaches with Obsolete Database: A Review
Abstract: The sequential pattern mining on progressive databases is very incipient approach, in which many researchers progressively discover the patterns in period of interest. Period of interest is a sliding window perpetually advancing as the time goes by. As the focus of sliding window changes, the incipient items are integrated to the dataset of interest and obsolete items are abstracted from it and become au courant. In general, the subsisting proposals …
Published in International Journal of Software Computing and Testing · Vol. 4, Issue 1, 2018 · pp. 1–9 Read article
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New Approach For Efficient Fuel Filling In Vehicles Using IOT
Abstract: Checking Systems are basic to track and comprehend the developments that happen in conditions. Remote viewing and information gathering structures are noteworthy and viable instruments to collect data from fuel aggregating tanks. The fuel association structure is Shows how the improvement is being mauled in the fuel stations. In fact the fuel stations are deluding open by blame looking at check for the fuel with the progression. This meander will …
Published in International Journal of Software Computing and Testing · Vol. 4, Issue 1, 2018 · pp. 30–38 Read article
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Cryptography and Encryption Techniques- A Survey
Abstract: Today security plays an vital role to protect your information from intruders and hackers. Information security is the most extreme basic issue in guaranteeing safe transmission of data through web. Also network security issues are now becoming important as security is moving towards digital information era. As more and more users connect to the internet it attracts a lot of cyber-attacks. After noticing constant reports of data, theft and hacking, …
Published in International Journal of Software Computing and Testing · Vol. 4, Issue 1, 2018 · pp. 16–20 Read article
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User Trust & Item Ratings based Regularized Model
Abstract: We recommend TrustSVD, a faith grounded frame factorization system for proposals. TrustSVD integrates dissimilar data sources into the suggestion demonstrate to diminish the information sparsity and cool begin issues and their exploitation of proposal execution. An investigation of social trust information from four true informational collections proposes that the express as well as the understood impact of the two evaluations and trust ought to be thought about in a suggestion …
Published in International Journal of Software Computing and Testing · Vol. 4, Issue 2, 2018 · pp. 19–23 Read article
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Smart Waste Segregation and Management Using IOT
Abstract: The Internet of Things (IoT) is a concept in which the interconnection is done via the internet of computing devices embedded in everyday objects, enabling them to send and receive data [1]. The initial technical realization of IoT was done by RFID which is used in identification and tracking of devices [5]. Due to the merits and characteristics of IoT, it plays an important role and has its applications in …
Published in International Journal of Software Computing and Testing · Vol. 5, Issue 1, 2019 · pp. 26–30 Read article
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Adaptive Text_Summarization: A Meaningful Summarization of Reviews
Abstract: Adaptive text_summarization is a model which takes elaborated data set of reviews containing more than two attributes as input and further breaks down those large chunks of text into summarized - form by eliminating attributes which are of less important for final evaluation. We keep only those attributes which contribute for better adaptation of meaning of the dataset. We have executed the techniques of Recurrent Neural-Network and Seq2Seq models to …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 1–7 Read article
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Home Appliances Control Using Voice
Abstract: This paper presents the advancement of home machines dependent on voice order utilizing Android. This framework has been intended to help and offer the help to old and incapacitated individuals at home. Google application has been utilized as voice acknowledgment and cycle the voice contribution from the PDA. In this paper, the voice input has been caught by the android and will be shipped off the Arduino Uno. Bluetooth module …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 1, 2021 · pp. 25–31 Read article
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Artificial Intelligence in Medical Field: Future Comes True
Abstract: In the current situation of medical field A.I. is very important as it has almost changed all the areas in the medical field due to which the study and research on various types of diseases is going very smoothly and with perfection. Through intensive research and development, A.I. had already begun to solve difficult challenges in the medical industry. Nowadays, artificial intelligence (A.I.) is utilised to maintain medical records in …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 2, 2021 · pp. 33–39 Read article