Results 31 to 40 of about 1,659 (221)
Proceedings 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 +1 more source
Applied 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
Tesseract: Integrated Reconfigurable Autonomous Architecture System [PDF]
, 2022 TESSERACT is an autonomous architecture developed through a voxel-based robotic material system that continuously reshapes communities through a socio-economic model with shifting fractional ownership.
He, Ziming +3 more
core
PROCESSING IMAGES OF SALES RECEIPTS FOR ISOLATING AND RECOGNISING TEXT INFORMATION
Вестник 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
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Journal 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
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Robust Vehicle Number Plate Text Recognition and Data Analysis Using Tesseract Ocr [PDF]
ITM Web of ConferencesTo 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
Jurnal Teknologi dan Sistem Komputer, 2020 Low-resolution images can be reconstructed into high-resolution images using the Super-resolution Convolution Neural Network (SRCNN) algorithm. This study aims to improve the vehicle license plate number's recognition accuracy by generating a high ...
Windra Swastika +2 more
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Tesseract OCR of IIT-CDIP Dataset
, 2022 This is Tesseract generated transcriptions (no images) of (most of) the IIT-CDIP dataset. To download the images of the IIT-CDIP dataset go to https://data.nist.gov/od/id/mds2-2531 The directory struture of this dataset is the same as the IIT-CDIP ...
Davis, Brian
core +1 more source
ICTACT Journal on Image and Video Processing, 2021 A huge amount of information exists in the form of textbooks, paper documents, newspapers, and other physical forms, that is required to be digitized for its effective access and long-time availability. Optical Character Recognition (OCR) is an effective
Sukhbindra Singh Rawat +2 more
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Exchanging image processing and OCR components in a Setswana digitisation pipeline
South African Computer Journal, 2020 As more natural language processing (NLP) applications benefit from neural network based approaches, it makes sense to re-evaluate existing work in NLP. A complete pipeline for digitisation includes several components hand- ling the material in sequence.
Gideon Jozua Kotzé, Friedel Wolff
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