Journal of Image Processing & Pattern Recognition Progress
Volume 10, Issue 3 (2023)
Published
Table of contents
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Utilizing ML for Hand Gesture Recognition
Abstract: Hand gestures are an instinctive and common method of communication during human interactions, representing a form of non-verbal expression. Gesture recognition technology aims to interpret and classify meaningful movements performed by human hands. The motivation behind its development is to revolutionize human-computer interaction, addressing drawbacks found in current systems. The study presents a novel algorithm that eliminates the requirement for image background filtering. This algorithm proves versatile, capable of recognizing …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 3, 2023 · pp. 1–7 Read article
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CNN-based Approach for Efficient Bell Pepper Leaf Disease Recognition
Abstract: Convolutional Neural Networks (CNNs) have achieved remarkable results in the detection of diseased plant leaves, providing highly accurate predictions. This project offers a comprehensive examination of existing systems designed for the detection of plant-based diseases. Using CNN trained on a dataset of bell pepper plant images, various simulation approaches for neurons and layers were employed. Plant diseases have significant impacts on agricultural productivity, leading to economic losses, reduced crop quality, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 3, 2023 · pp. 16–22 Read article
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Hand Gesture Recognition using Machine Learning and OpenCV
Abstract: People who are deaf or dumb use sign language to communicate with one another and within their own communities. The process of computer recognition of sign language begins with learning sign gestures and progresses until text or speech is generated. Static and dynamic sign gestures are the two categories. Although static gesture recognition is simpler to use than dynamic gesture recognition, both gesture recognition systems are essential to the survival …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 3, 2023 · pp. 23–33 Read article
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Object’s Area Measurement using Image Processing
Abstract: Object measurement holds substantial significance across a wide spectrum of domains, spanning from quality control in manufacturing to applications in healthcare and environmental monitoring. In this study, a method is suggested to detect the object and calculate the area of the given object in real time using MATLAB. Also, comparing the result obtained with the known area and seeing how accurate the area calculated is. The proposed method for detecting …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 3, 2023 · pp. 34–41 Read article
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A Brief Survey on Content-based Fake News Detection
Abstract: The increase in spread of fake news causes destruction of democracy and public confidence, which has boosted the demand for reliable fake news identification dramatically. Recent developments in this area have opened up innovative approaches for identifying fake news by looking at how it travels on social media. However, in order to spot false news early, one has no information about news distribution because at an early-stage, fake news can …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 3, 2023 · pp. 8–15 Read article