Results 91 to 100 of about 6,299 (201)
RECOGNITION DESIGN OF LICENSE PLATE AND CAR TYPE USING TESSERACT OCR AND EmguCV
CommIT Journal, 2012 The goal of the research is to design and implement software that can recognize license plates and car types from images. The method used for the research is soft computing using library of EmguCV.
Antonius Herusutopo +3 more
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BUSCA DE PALAVRAS CHAVE EM IMAGENS DE LIVROS IMPRESSOS USANDO VISÃO COMPUTACIONAL
Colloquium Exactarum, 2021 Com o uso cada vez mais frequente de livros no formato digital, as pessoas buscam os assuntos desejados de uma maneira mais rápida, se comparado à busca em livros impressos.
Felipe Peruchi Simões +6 more
doaj
Digitization Decisions: Comparing OCR Software for Librarian and Archivist Use
Code4Lib Journal, 2021 This paper is intended to help librarians and archivists who are involved in digitization work choose optical character recognition (OCR) software. The paper provides an introduction to OCR software for digitization projects, and shares the method we ...
Leanne Olson, Veronica Berry
doaj
Tesseract Update: Options and Languages
, 2016 A few weeks ago we announced the first release of the tesseract package: a high quality OCR engine in R. We have now released an update with extra features. Installing Training Data As explained in the first post, the tesseract system is powered by language specific training data. By default only English training data is installed.
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Identification of Socio Economic Registration Data Using OCR Based Tesseract and Google Cloud Vision
Buana Information Technology and Computer SciencesThe Indonesian government program, called Socio-Economic Registration (Regsosek), aims to measure and monitor the socio-economic conditions of low-income people. One of the relevant data used for research is Regsosek.
Lionardi Ursaputra Pratama +2 more
doaj +1 more source
Tesseract Realtime Rendering 3D engine
, 2022 Realtime Rendering, due to its importance in image creation and processing, is one of the main pillars within videogame development. It is a wide field which is constantly subject to optimization, expansion, and development in software as well as in specialized hardware (GPUs).
openaire +1 more source
TesserAct: Learning 4D Embodied World Models
This paper presents an effective approach for learning novel 4D embodied world models, which predict the dynamic evolution of 3D scenes over time in response to an embodied agent's actions, providing both spatial and temporal consistency. We propose to learn a 4D world model by training on RGB-DN (RGB, Depth, and Normal) videos. This not only surpasses
Zhen, Haoyu +6 more
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Transcranial Electrical Stimulation in Stroke EaRly After onset Clinical Trial (TESSERACT)
Brain Stimulation, 2023 Mersedeh Bahr-Hosseini +5 more
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A Validation Study of a Deep Learning-Based Doping Drug Text Recognition System to Ensure Safe Drug Use among Athletes. [PDF]
Healthcare (Basel), 2023 Lee SY, Park JH, Yoon J, Lee JY.
europepmc +1 more source