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Quadruple histogram shifting-based reversible information hiding approach for digital images
Nowadays, data hiding techniques are one of the most growing researching areas. This paper introduces a quadruple histogram shifting-based reversible...
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A unified feature descriptor for generic character recognition based on zoning and histogram of gradients
Character recognition is one of the most interesting and challenging area of pattern recognition with several real-world application capabilities....
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Transfer Learning-Based Effective Facial Emotion Recognition Using Contrast Limited Adaptive Histogram Equalization (CLAHE)
Recognition of facial emotions are the recent research area computer vision’s field and human computer interactions. Profound models of deep learning...
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Convolutional Neural Network and Histogram of Oriented Gradient Based Invariant Handwritten MODI Character Recognition
Abstract—“MODI lipi” is one of the Indian ancient scripts and is as yet unrecognized script. It is not in use today, but it has importance for...
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Loneliness and intrinsic motivation levels of distance learners in virtual environments
This study aims to determine the relationship between the loneliness levels and intrinsic motivation levels felt by distance learners in a virtual...
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Distance from Unimodality for the Assessment of Opinion Polarization
Commonsense knowledge is often approximated by the fraction of annotators who classified an item as belonging to the positive class. Instances for...
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Extending the Bag Distance for String Similarity Search
In the context of string similarity search, the Edit Distance is the preferred choice for indexes based on a metric space. However, the high...
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Recognition of offline handwritten Devanagari characters using new mask-based approach, histogram of oriented gradients and AdaBoost
The world is growing with the new technologies for machine learning. Day by day there are incredible developments in the area of pattern recognition...
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Discriminant distance template matching for image recognition
The recognition of arrow markings in intelligent transportation system can be posed as a template matching problem, because their production has to...
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Adaptive active contours driven by the squared Hellinger distance and local correlation features for inhomogeneous image segmentation
Intensity inhomogeneity is an intractable issue that leads to significant challenges for image segmentation. Moreover, inhomogeneous images are very...
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Adaptive fuzzy weighted color histogram and HOG appearance model for object tracking with a dynamic trained neural network prediction
Object tracking in video sequences represents an important task in computer vision applications like human mobility and social distance in pandemic...
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Determining scale and scope economies in Korean private universities: an input distance function approach
Over the past few decades, South Korea has prioritized higher education to boost knowledge-based economic development. This study investigates Korean...
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Directed searching optimized mean-exposure based sub-image histogram equalization for grayscale image enhancement
This paper presents a novel enhancement technique for low light grayscale images. The main goal of this work is to enhance the visual quality and...
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Concrete Crack Segmentation Using Histogram Based Fast Clustering and Morphological Operators
The problem of routinely detecting complicated cracks on coarse concrete surfaces using image processing is tough activity. Clustering is an...
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Selectivity estimation with density-model-based multidimensional histogram
Histograms are widely used in selectivity estimation for one-dimensional data. Using the one-dimensional histograms to estimate the selectivity of...
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Reversible data hiding strategy exploiting circular distance interpolation utilizing optimal pixel adjustment with error substitution
Numerous reversible data hiding schemes have been proposed with the goal of ensuring both security and availability of the original image. However,...
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Synthesis of deep learning technique for social distance monitoring in pandemic areas
Recently deep learning has been making various achievements in different fields like medical diagnosis, automation, facial recognition, detection,...
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Evaluation Method of Distance Teaching Effect Based on Student Behavior Data Mining
In recent years, distance education is rising gradually, and it is difficult to evaluate its teaching effect. In this context, based on the data...
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Computer-aided diagnosis of COVID-19 from chest X-ray images using histogram-oriented gradient features and Random Forest classifier
The decision-making process is very crucial in healthcare, which includes quick diagnostic methods to monitor and prevent the COVID-19 pandemic...
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Diagnostic classification of autism spectrum disorder using sMRI improves with the morphological distance-related features compared to morphological features
In this study, we analyzed the performance of the morphological features (MF) and morphological distance-related features (MDRF) in the...
