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50 articles for “number segmentation”
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Automatic Number Plate Recognition Based Image Processing
Abstract: In most countries, traffic control and vehicle owner identification have become important problems. It is almost impossible to identify vehicle owners who break rules of the traffic, especially those driving at high speeds. Another problem inhibits traffic officers from catching the offenders in most cases because solving traffic offenders involves retrieving license plate numbers from fast-moving vehicles. Automatic Number Plate Recognition (ANPR) systems have been developed as an effective solution …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 33–40 Read article
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Automation of Indian Post Office
Abstract: The proposed method relates to a noble cause of helping working people in post office by providing an atomized module which can make their work easy in short time duration. Being particular, the proposed invention using predefined data base and software detects different areas’ PINCODE and further hardware mechanism is capable of distributing postcards as per their area and collect them in separate boxes.
Published in Journal of Open Source Developments · Vol. 1, Issue 1, 2014 · pp. 11–15 Read article
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Binary Shape Segmentation and Classification using Coordination Number (CN)*
Abstract: We proposed a novel, micro-structures, shape-preserving local descriptor for contour-segmentation- based binary object classification and recognition, named local coordination number count (LCNC). In this method, we formulate the problem by estimating the 8-neighbourof each binary object pixel. In the matching stage, we used Euclidean distance between eigenvalues corresponding to correlation coefficient and the dynamic programming to find out the optimal correspondence between boundary smoothness of two shapes. Experimental results obtained …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 8, Issue 1, 2021 · pp. 22–30 Read article
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Vehicle Number Plate Detector
Abstract: In real word, traffic is so high unable to control and check all the vehicles passing by through highways and roads. Every country's traffic management and car owner identification has become a key issue. It might be tough to spot drivers who break traffic laws and drive too fast at times. As a result, it is impossible to apprehend and penalise such individuals because traffic officers may be unable to …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 24–31 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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Connected Component Based Efficient Gait Recognition System
Abstract: AbstractGait recognition is one of the major security concerns for biometric authentication. In this work, an efficient gait recognition system using connected component based segmentation algorithm is proposed. This proposed system works on two different sub-phases, named as extraction phase and recognition phase. In the extraction phase, connected component based segmentation algorithm is applied on different gait images, taken from different sources and with the help of threshold value, decided …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 2, 2017 · pp. 13–16 Read article
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A New Method to Optimize Initial Cluster Number and Then Apply K-Means Algorithm to Perform Image Segmentation
Abstract: Clustering is described as the task of merely grouping a set of data points, which in our case are represented by image pixels, with the application of one or more algorithms, into super-pixels. The k-means clustering algorithm is used for many day-to-day practical applications where the quality of the obtained clusters depends heavily on the initial selection of centroids. In literature, several methods have already been proposed for the improvement …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 2, 2018 · pp. 18–24 Read article
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Number Plate Recognition
Abstract: AbstractIn the last few decades, the number of vehicles has risen drastically. With this increase, it is difficult to keep track of every vehicle traffic management. Number Plate Recognition is employed increasingly today for toll assortment, maintaining traffic activities and enforcement. The fundamental step in Number Plate Recognition is the localization of the number plate. Number Plate Recognition localization is enforced using MATLAB and verified for its practicality. In India, …
Published in Recent Trends in Electronics Communication Systems · Vol. 7, Issue 2, 2020 · pp. 18–21 Read article
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Extracting Alphabets and Numbers from License Plate using Mean Value
Abstract: Segmentation plays a significant role in computer vision and its related applications of image processing. Segmentation is actually a process of partitioning a digital image into multiple segments (sets of pixels) to simplify and/or change the representation of an image into more meaningful and easier to analyze. This paper presents a method of license plate extraction using segmentation method and mean value of the images. We extracted the numbers and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 3, 2014 · pp. 1–8 Read article
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A GIS Based Tool to Digitize Polygon and Line Segments of a Black and White Map
Abstract: In this paper a GIS based tool has been proposed to digitize polygon and line objects throughefficient usage of RGB values of the segments of raster maps. For digitization of polygon,initially a closed loop is drawn inside the polygon segment. Beginning from the initial point ofthe closed loop, eight connected pixels calculation is incorporated to obtain the pointsexisting in between the loop and the actual boundary. The points which exist …
Published in Journal of Remote Sensing & GIS · Vol. 7, Issue 1, 2016 · pp. 27–41 Read article
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Heart Disease Prediction Using ANN Based Ensemble Framework (ANNEF) Approach
Abstract: The heart is the most important organ in the human body. One of the deadliest illnesses, heart disease is to blame for countless deaths worldwide. Because of the formation of fatty plaques in arteries, the heart fails to supply enough blood to other body areas to carry out its usual functions in heart disease (atherosclerosis). Age, a sedentary lifestyle, a family history of heart disease, stress, and other factors are …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 3, 2022 · pp. 38–45 Read article
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Color Image Segmentation Using Optimized FCM Based on Modified Xie-Beni’s Validity Index
Abstract: AbstractColor image segmentation is an important task for image processing. There are many techniques used for segmentation; among them clustering is the most popular technique. The main issue of clustering process is to determine the number of clusters present in the image, which often is decided by the user or by cluster validity index. It is illogical to have correct or exact knowledge about the data points present in the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 2, 2017 · pp. 4–12 Read article
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Moving Vehicle Speed Determination and Number Plate Recognition through Feature Extraction
Abstract: AbstractVelocity Estimation, instead of using complex algorithms, can be easily implemented on MATLAB by some simple calculations. Speed can also be tracked using the threshold values and thus concerned authorities can be notified using the Gmail interfacing. For real time applications, some advanced hardware should be used. Nowadays traffic is a very big problem in the urban areas that has to be addressed. Video monitoring is one of the latest …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 1, 2017 · pp. 1–3 Read article
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A Study of The Performance of surface modified NACA 2416 Airfoils at various Angles of Attach at Re80000
Abstract: In the present investigation the effect of compressive strength of core and precast concrete on the behavior of columns retrofitted by attaching precast segments and followed by FRP wrapping through Finite Element Analysis. A rectangular column converted into an elliptical column by attaching precast segment is modeled using ANSYS workbench, A Finite Element Analysis software. A Finite Element Model is developed, considering various structural parameters such as grades of core …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 302–310 Read article
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Segmentation Methods for Images: A Systematic Review
Abstract: Image segmentation is the initial operation in image processing and computer vision to extract a region of interest from a still image or a sequence of images (video). Segmentation is the key operation to perform a number of applications today. Different supervised and unsupervised evaluation methods have been used for segmentation for numerous applications, but still it is a challenging task to identify which method is more accurate. This paper …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 3, 2013 · pp. 61–67 Read article
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Fake Review Detection
Abstract: In the enterprise marketing process, online information assumes progressively significant job. As a kind of information, counterfeit surveys of the items, have been genuinely influencing the unwavering quality of both dynamic and information examination of the undertaking. To distinguish spam surveys, the paper presents a lot of conclusion spam discovery's ID markers dependent on conduct highlights of the spammer. Our review identification algorithm achieves lower latency. More importantly, the proposed …
Published in Journal of Operating Systems Development & Trends · Vol. 7, Issue 2, 2020 · pp. 6–13 Read article
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Automated Land Crude Oil Spill Detection with Gabor Filters and Wavelet Transform
Abstract: AbstractEarly detection of crude oil spills leads to significant reduction in the environmental pollution, economic losses and health hazards that result from these spills. The visiblelightspectrumstill remainsaresearcharea for spill detectionbecauseitis aquick economicalmethodformonitoringoil spills. This paper presents an algorithm for automated land crude oil spill detection in the visible spectrum. The algorithm employs three basic steps for crude oil spill detection: Gaborfiltration, wavelet transformanalysis, and color homogeneity extraction. The algorithm was …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 3, 2020 · pp. 9–17 Read article
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Digital Resurrection: Restoring Fragile Documents with OCR
Abstract: In creating a typical Optical Character Recognition (OCR) system, several steps are involved, such as preprocessing, segmentation, feature extraction, and classification. Preprocessing, which is a particularly interesting and challenging aspect of Document Analysis and Recognition (DAR), deals with converting scanned or photographed images containing machine-printed or handwritten text, including numbers, letters, and symbols, into a format that the system can understand. Segmentation is a crucial task in any OCR system, …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 29–35 Read article
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AI-Powered License Plate Recognition
Abstract: With the number of cars multiplying daily, safety precautions are judged required. Automatic number plate recognition uses image processing and machine learning techniques to recognize vehicle numbers. By utilizing the vehicle number plate, the approach recommended seeks to establish a capable automated approved auto identification system. We describe an automated vehicle number detection system based on image processing and Raspberry Pi that reads license plates. In this setting, a Raspberry …
Published in Trends in Machine design · Vol. 11, Issue 1, 2024 · pp. 20–29 Read article
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Customer Segmentation for Enhancing Customer Centric Business
Abstract: Customer segmentation is grouping customers based on similarities so companies can approach each group for marketing effectively and appropriately. Customer segmentation is important for enhancing customer centric business for gaining retention among customers by campaigning them using better marketing strategies, causing more institutional benefit. This paper segments customers by analyzing their characteristics based on both demographic and behavioral attributes using K-Means clustering algorithm and Self-Organizing Maps (SOM). K-Means is a …
Published in E-Commerce for Future & Trends · Vol. 8, Issue 1, 2021 · pp. 17–31 Read article