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141 results for “digital image”
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Research ArticleOpen accessIn the abstractFuture Emoji Entry Prediction Using Neural NetworksHelen Wilfred Raj, Santhi BalachandranIn today’s world, textual data has made momentous progress in social media. The rise of digital communication via text has paved the way to emoji, a pictographically represented way of expressing emotions. In digital communication, Emoji gives a visual appeal to the text, which improves communication and new vistas of exchange and creativity. While emoji entry prediction based on text … …Journal of Computer Science, Vol. 16, Issue 2 · 10 Aug 2019 · 9,145 accessesView PDFCite
Research ArticleOpen accessIn the abstractCrypto-Watermarking of Images based on the Permutation on Z/pZ and the Wavelet Decompositions of Legall 5/3Younes Benlcouiri, Moulay Chrif Ismaili, Abdelmalek Azizi, Mohammed BenabdellahIn this work, we are interested in the insertion of the watermarking of digital images in the frequency domain. The algorithm proposed uses the transformed into wavelet Legall 5/3 on an image encrypted by swapping on the Z/pZ field, to perform the watermarking. By consequence, this introduces the concept of keys to the traditional methods of non-blind watermarking. The results … …Journal of Computer Science, Vol. 15, Issue 6 · 26 Jun 2019 · 7,457 accessesView PDFCite
Review ArticleOpen accessIn the abstractFace Recognition as a Biometric ApplicationRelly Victoria Virgil PetrescuA facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source. There are multiple methods in which facial recognition systems work, but in general, they work by comparing selected facial features from the given image with faces within a database. It is also described as … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 14 May 2019 · 18,791 accessesView PDFCite
Research ArticleOpen accessIn the abstractStudy of Surface Morphology and Effectiveness of Common Nasopharyngeal Masks: A Case of Kathmandu, NepalPrasidha Raj Neupane, Iswor Bajracharya, Sunil Babu KhatryFacemasks are widely used worldwide to prevent inhaling airborneparticles and viruses, especially after the outbreak of COVID-19. To assess theeffectiveness of various facemasks against PM10 and PM2.5,experiments with a mannequin head were conducted at 10 and 55 LPM airflowrates. A total of 38 masks, including 26 CMs, 7 SMs, and 5 N95 masks, weretested against PM10 and PM2.5 at 55 … …American Journal of Environmental Sciences, Vol. 19, Issue 3 · 7 Dec 2023 · 5,830 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Analysis of Two Famous Cryptographic Algorithms on Mixed DataEmmanuel Abidemi Adeniyi et al.The rapid development of digital data sharing has made information security a crucial concern in data communication. The information security system heavily relies on encryption methods. These algorithms employ strategies to increase data secrecy and privacy by obscuring the information, which only those parties who have the accompanying key can decode or decrypt. Nevertheless, these methods also use a lot … …Journal of Computer Science, Vol. 19, Issue 6 · 29 May 2023 · 6,026 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Analysis of LDA, AdaBoost and Ensemble Bag Classifiers for Automatically Recognizing Nine Common Facial ExpressionsM.D. Sumithra, M. Abdul RahimanFacial expression recognition holds a prominent role in today’s digital world with more Human –Computer Interaction happening in day to day life. Successful identification of facial expressions needs extraction of descriptive attributes from the active facial patches and accurate classification. This paper is presented with the comparison of three multi class classifiers namely Linear Discriminant Analysis, AdaBoost and Ensemble bag. … …Journal of Computer Science, Vol. 14, Issue 9 · 27 Sep 2018 · 7,791 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Pedestrian Detection Using Context InformationJorge Candido, Mauricio MarengoniDetecting pedestrians among other objects in a digital image is a relevant task in the field of computer vision. This paper presents a method to improve the performance of a pedestrian detection algorithm using context information. A neural network is used to classify the region below pedestrian candidates as being floor or non-floor. We assume that a pedestrian must be … …Journal of Computer Science, Vol. 14, Issue 7 · 6 Aug 2018 · 7,224 accessesView PDFCite
Case ReportOpen accessIn the abstractGully Morphological Assessment and Anthropogenic Determinants in Urban and Rural Settlements of Upper Imo River Basin (UIRB) South Eastern NigeriaNnamdi Christian ChiboGully erosion have been proven to vary both in terms of size and number in urban and rural settlements and is caused by factors related to both human and natural phenomenon. This study assessed the gully morphological development in an urban and rural settlement with the view of finding the settlement that is more vulnerable to gully erosion development. It … …American Journal of Environmental Sciences, Vol. 18, Issue 6 · 19 Dec 2022 · 5,953 accessesView PDFCite
Research ArticleOpen accessIn the abstractVisual Tracking using Invariant Feature DescriptorLee-Yeng Ong, Siong-Hoe Lau, Voon-Chet KooThe process of identifying the state of an object in a video sequence is referred as visual tracking. It is mainly achieved by using the appearance information from a reference image to recognize the similar characteristics from the other images. Since a digital image is built-up with rows and columns of pixels that are represented with finite set of digital … …American Journal of Applied Sciences, Vol. 14, Issue 9 · 21 Sep 2017 · 7,721 accessesView PDFCite
Research ArticleOpen accessIn the abstractRandomized Pixel Selection for Enhancing LSB Algorithm Security against Brute-Force AttackAmmar Y. Tuama, Mohamad A. Mohamed, Abdullah Muhammed, Zurina M. HanapiSteganography is the science of concealing a secret message by embedding it into innocent carriers such as text, audio, images, etc. It plays a crucial role in a broad range of security applications such as securing message exchange, user authentication and copyrighting. One of the most effortless and widely-used techniques is the age-old Least Significant Bits (LSB) algorithm, which can … …Journal of Mathematics and Statistics, Vol. 13, Issue 2 · 16 May 2017 · 7,448 accessesView PDFCite