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58 articles for “Feature Matching”
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Detection of Counterfeit Indian Passport Using Image Processing
Abstract: AbstractThere are various identification documents for an Indian citizen; like adhaar card, ID card, passport, etc. Among them, passport is the primary identity verification document. It gives identity to a particular citizen on the global level. With passport, we can travel across the globe. We can live in another country. Hence it is necessary that it does not belong to any mischievous person. But with the advancement in the technology; …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 2, 2017 · pp. 1–3 Read article
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Automobile Driving License Verification using Biometrics
Abstract: Fingerprint authentication or recognition refers to the automated method of verifying a match between two human fingerprints. Fingerprints are one of the many concepts of biometrics used to recognize persons and confirm their uniqueness. The investigation of fingerprints for identical determinations usually needs the evaluation of numerous features of the print pattern. In this project, we use the Fingerprint verification system which is a non-imitable biometric confirmation structure.Keywords: Aurdino; LICENSE …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 6, Issue 2, 2019 · pp. 6–9 Read article
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Efficient Malware Detection in Cybersecurity: Leveraging Advanced Data Structures for Enhanced Threat Identification
Abstract: The cybersecurity landscape is constantly changing with more advanced malware creating major challenges for detection systems. To address these challenges effectively, advanced data structures have become essential in optimizing how data is managed, processed, and analyzed for malware detection. This review paper delves into the role of several cutting-edge data structures—bloom filters, tries, hash tables, graphs, decision trees, and suffix trees—in enhancing the efficiency and accuracy of malware detection mechanisms. …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 32–40 Read article
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Real-time Criminal Detection Using Face Recognition
Abstract: The objective of this project is to create a criminal face detection system that utilizes machine learning algorithms like TensorFlow and Scikit-learn, implemented in the Python programming language. To handle image processing, OpenCV will be utilized, while SQL will manage the current criminal database. The high-resolution pictures in the database will be split into various components and utilized for training the model, which can identify specific features to recognize the …
Published in Journal Of Network security · Vol. 11, Issue 1, 2023 · pp. 1–7 Read article
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RFID BASED PROTOTYPE DEVELOPMENT OF IMMOBILIZER FOR TWO WHEELER VEHICLE SECURITY
Abstract: An immobilizer is an electronic device fitted to an automobile which prevents the engine from running unlessthe vehicle has the proper access to it. The main use of this system is to protect the vehicle from being stealthas it deactivates the engine. The immobilizer security system is mainly seen in four wheeler vehicles. Thesame idea can be implemented for 2 wheeler vehicles which are in huge number in countries like …
Published in Journal of Control & Instrumentation · Vol. 1, Issue 1-2-3, 2011 · pp. 44–49 Read article
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Cyber Security Implementation Through Deep Learning Based Fraudulent URL Detection
Abstract: A malicious URL, sometimes known as Spam, malicious ads, and drive-by vulnerabilities may all be found on a site that is malevolent. To find rogue URLs, you need to be quick. Researchers previously used blacklisting, regular expression searching and signature matching in their investigations. These strategies are worthless for discovering new malicious URLs or updated versions of previously problematic URLs. A machine learning-based approach may be developed to overcome this …
Published in Recent Trends in Programming languages · Vol. 9, Issue 2, 2022 · pp. 35–42 Read article
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Cascade of Gait Recognition with Surveillance System in a Client-Server Environment
Abstract: ABSTRACTThis paper presents a system consisting of the application of gait recognition, a physiological biometric applied in a client-server environment. Now-a-days security plays a very important role in almost all fields and most of the public places like banks, airports, railway stations, etc., which require more security as the thieves and criminals are very intelligent whose objective is to create problems for human life and many untoward incidents. The gait …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 1, 2012 · pp. 26–36 Read article
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License Plate Detection using CNN
Abstract: Tag recognition is a picture preparing innovation used to distinguish vehicles by their tags. This advancement is used in various security and traffic applications. Deep learning employs complex mechanisms to extract features from samples This paper proposes a system trained using the MobileNetV2 convolutional neural network (CNN) model to detect the characters and digits from vehicle license plates. Our approach is highly influenced by the recent advancements made in the …
Published in Journal Of Network security · Vol. 9, Issue 2, 2021 · pp. 21–27 Read article
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Implementation Chatbot Whatsapp using Twilio and Rasa
Abstract: Virtual Private Server (VPS) usage is still quite pricey in India. In the IT industry, the chatbot application system is crucial, particularly for disseminating information in a direct and palatable way to numerous users at once. This study primarily focuses on users using the Chatbot system with the WhatsApp app. Python is used to programme this chatbot system. The user needs to join with Twilio using join and the sandbox …
Published in Journal of Operating Systems Development & Trends · Vol. 9, Issue 3, 2022 · pp. 28–34 Read article
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Simulation of Image Processing and Restoration Through A Base Image Using Matlab
Abstract: Basically, in image processing the main work is done on pixels and its value. Basically, an image is a two-dimensional function f(x, y), where x and y are spatial coordinates. Here, in the present study geometrical transformation is being used for image restoration and processing. Steps are carried some for the result outcome. First the image is read in the algorithm, further the coordinates and pixels are being specified, and …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 8, Issue 1, 2021 · pp. 31–40 Read article
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Entropy Analysis of EEG between Alcoholic and Control Subjects during Visual Stimulus Perception
Abstract: The purpose of this paper is to examine the variation in the EEG signal recorded from a group of individual, who were subjected under the effect of alcoholism while comparing them to non-alcoholic or controlled state. For the purpose, EEG from individuals was processed while subjects were perceiving visual picture stimulus from Snodgrass and Vanderwart picture set. A total of 10 trials for each subject have been considered in matched/non-matched …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 6, Issue 3, 2016 · pp. 5–14 Read article
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Content Based Document Image Indexing and Retrieval using Hybrid of Quadtree and Sparse Matrix Structure
Abstract: The fundamental consideration in the design & development of a content based image retrieval system is to extract the image features that best represent the image contents in a database. Currently several image indexing approaches based on Quadtree do exist. In this paper, the proposed approach is primarily concentrating on database classification for efficient image representation and effective retrieval using Quadtree decomposition technique augmented by sparse based index structure. In …
Published in Journal of Advanced Database Management & Systems · Vol. 5, Issue 2, 2018 · pp. 18–27 Read article
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Enhancing Palm Print Recognition System
Abstract: Palmprint is the most popular and reliable feature of biometric system. From the palmprint different features can be extracted for recognition. In this paper the method of personal identification is based on broken lines and repeated lines of palm. The image of a palm captured from database contains not only the principal lines but also irregular lines like repeated lines and broken lines. The proposed method extracts the pattern lines …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 61–69 Read article
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Smart Grid – An Indian Perspective
Abstract: In this paper the conception, feature and Technical Composition of smart grid is expounded, and the development process and present research status of smart grid home and abroad as well as the practical significance of developing smart grid in India are introduced. The paper analyzes the characteristics and direction of India’s smart grid development, and point out that the development of smart grid requires the development of many smart grid …
Published in Trends in Electrical Engineering · Vol. 3, Issue 3, 2013 · pp. 62–67 Read article
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Enhancing Explainability in Machine Learning Based Spam Email Detection Using LIME and SHAP
Abstract: Spam emails represent a continual and irritating cybersecurity issue due to the fast expansion of cyberspace communication. These messages are unwanted and, in some cases, dangerous, such as phishing schemes, identity theft, and the propagation of malware. They cause severe financial and data security threats to individuals and organizations. Conventional spam detection techniques, such as rule-based spamming, blacklisting, and keyword classification, are techniques that find it difficult to match adaptive …
Published in Journal Of Network security · Vol. 14, Issue 2, 2026 · pp. 35–48 Read article
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A Critical Review on Semi-solid and Solid Lubricants for Industrial Applications
Abstract: Friction materials are very important for the safe moving of automobiles and the safety of people. As the pad slides against its match, the moving energy is turned into heat by the friction. As the vehicle's speed is lost as heat in the pads and rotors, the friction at the contact slows it down. Lubricants are compounds that are applied to moving parts to reduce friction and wear. Used primarily …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 105–114 Read article
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Genomic Selection for Grain Yield in Wheat Using Machine Learning on DArT Molecular Markers: A Comparative Evaluation Across Multi-Environment Trials
Abstract: Genomic selection (GS) predicts complex quantitative traits directly from genome-wide molecular markers, bypassing the need for extensive phenotypic trials and accelerating plant breeding cycles. We conducted a comparative evaluation of seven regression approaches — ridge regression (the machine-learning equivalent of RR-BLUP), Lasso, Elastic Net, Partial Least Squares, linear Support Vector Regression, Random Forest, and Gradient Boosting — for predicting grain yield from 1,279 Diversity Array Technology (DArT) molecular markers genotyped …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Pharmacophore mapping, 3D QSAR, docking, and ADME prediction studies of novel Benzothiazinone derivatives
Abstract: Background Tuberculosis is a major public health concern worldwide which is caused by Mycobacterium tuberculosis. DprE1 (Decaprenyl Phosphoryl Ribose 2’- Epimerase) is the most challenging target for development of novel anti- tubercular agents because it is a small protein and located into cytoplasmic membrane. So, novel anti-TB drugs did not bound effectively with it. DprE1 catalyzes the oxidation of the 2’ hydroxyl group of DPR (Decaprenyl Phosphoryl D- Ribose) …
Published in International Journal of Antibiotics · Vol. 1, Issue 1, 2024 · pp. 59–82 Read article