Results 21 to 30 of about 728 (182)

OCR with Google Vision API and Tesseract

open access: yesThe Programming Historian, 2023
Google Vision and Tesseract are both popular and powerful OCR tools, but they each have their weaknesses. In this lesson, you will learn how to combine the two to make the most of their individual strengths and achieve even more accurate OCR results.
Isabelle Gribomont
doaj   +1 more source

Tesseract [PDF]

open access: yesProceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019
We propose Tesseract, a secure real-time cryptocurrency exchange service. Existing centralized exchange designs are vulnerable to theft of funds, while decentralized exchanges cannot offer real-time cross-chain trades. All currently deployed exchanges are also vulnerable to frontrunning attacks.
Iddo Bentov   +5 more
openaire   +2 more sources

Tesseract: Parallelize the Tensor Parallelism Efficiently

open access: yesProceedings of the 51st International Conference on Parallel Processing, 2022
Together with the improvements in state-of-the-art accuracies of various tasks, deep learning models are getting significantly larger. However, it is extremely difficult to implement these large models because limited GPU memory makes it impossible to fit large models into a single GPU or even a GPU server. Besides, it is highly necessary to reduce the
Boxiang Wang   +3 more
openaire   +2 more sources

First in situ measurements of the prototype Tesseract fluxgate magnetometer on the ACES-II-Low sounding rocket [PDF]

open access: yesGeoscientific Instrumentation, Methods and Data Systems
Ongoing innovation in next-generation fluxgate magnetometry is important for enabling future investigations of space plasma, especially multi-spacecraft experimental studies of energy transport in the magnetosphere and the solar wind.
K. Greene   +8 more
doaj   +1 more source

Tesseract – a high-stability, low-noise fluxgate sensor designed for constellation applications [PDF]

open access: yesGeoscientific Instrumentation, Methods and Data Systems, 2022
Accurate high-precision magnetic field measurements are a significant challenge for many applications, including constellation missions studying space plasmas.
K. Greene   +4 more
doaj   +1 more source

Surfaces in The Tesseract

open access: yes, 2023
4 pages, 6 figures, Bridges 2023 Conference ...
Estévez, Manuel   +2 more
openaire   +2 more sources

Business Process Automation: A Workflow Incorporating Optical Character Recognition and Approximate String and Pattern Matching for Solving Practical Industry Problems

open access: yesApplied System Innovation, 2019
Companies are relying more on artificial intelligence and machine learning in order to enhance and automate existing business processes. While the power of OCR (Optical Character Recognition) technologies can be harnessed for the digitization of image ...
Coenrad de Jager, Marinda Nel
doaj   +1 more source

PROCESSING IMAGES OF SALES RECEIPTS FOR ISOLATING AND RECOGNISING TEXT INFORMATION

open access: yesВестник Дагестанского государственного технического университета: Технические науки, 2020
Objectives. This article presents an application for the processing of scanned images of sales receipts for subsequent extraction of text information using the Tesseract OCR Engine.
A. S. Nazdryukhin   +2 more
doaj   +1 more source

Implementation of OCR (Optical Character Recognition) Using Tesseract in Detecting Character in Quotes Text Images

open access: yesJournal of Applied Engineering and Technological Science, 2022
The development of technology in Indonesia is currently increasingly advanced in people's lives and cannot be avoided. The use of Artificial Intelligence in helping humans in dealing with problems is growing.
Ikha Novie Tri Lestari   +1 more
doaj   +1 more source

Robust Vehicle Number Plate Text Recognition and Data Analysis Using Tesseract Ocr [PDF]

open access: yesITM Web of Conferences
To detect the vehicle number plate the system should understand the character and integers determined on vehicles. The proposed methodology holds three phases: pre-process, extraction of features and recognition of text.
Padmaja G.   +4 more
doaj   +1 more source

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