Results 71 to 80 of about 1,659 (221)
IMPROVING THE EFFICIENCY OF TESSERACT OCR ENGINE
, 2014 This project investigates the principles of optical character recognition used in the Tesseract OCR engine and techniques to improve its efficiency and runtime.
Badla, Sahil
core +1 more source
Three Algorithms for Parallel Graph Summarization
Expert Systems, Volume 43, Issue 1, January 2026.ABSTRACT Most graph summarization algorithms are tailored to a specific graph summary model and were designed for one‐time computations only, that is, batch‐based computations. We developed a universal approach for parallel graph summarization and three algorithms to compute graph summaries—a batch‐based algorithm for static graphs, an incremental ...
Till Blume +3 more
wiley +1 more source
Tesseract: Real-Time Cryptocurrency Exchange using Trusted Hardware [PDF]
, 2018 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.
Ari Juels +7 more
core
Journal of Robotics, Volume 2026, Issue 1, 2026.This review paper examines modern assistive technology developments for visually impaired users, focusing on systems that detect multiple objects and understand scenes. This study systematically analyzed devices and systems that assist visually impaired users with daily activities, including navigation, object detection, scene understanding, and text ...
Kaushalya Premarathne +4 more
wiley +1 more source
Tesseract Aid for Blind People Using Optical Character Recognition (OCR) Algorithm
, 2022 Tesseract Aid for Blind People Using Optical Character Recognition (OCR ...
SICC Center
core +1 more source
The Wettstein tesseract: A tool for conceptualising species‐rank decisions and illustrating speciation trajectories [PDF]
, 2022 Genealogy-based species-delimitation approaches resting upon multilocus sequence data aim at arranging organisms into species taxa (the "grouping" step in a classification procedure), but provide no criteria for the subsequent decision of whether these ...
Oberprieler, Christoph
core +1 more source
Advanced Science, Volume 12, Issue 48, December 29, 2025.With the help of large language models, deep neural network learning, and kinetic calculation, a knowledge graph prediction of prior research in methane conversion is conducted. This knowledge graph provides a comprehensive understanding of the relationships among catalyst materials, catalytic performance, and reaction conditions, providing guidance ...
Boyu Xu +11 more
wiley +1 more source
An Open-Source Tesseract Based Optical Character Recognizer for Bengali Language
, 2022 Optical Character Recognition (OCR) is the process of extracting text from an image. The main purpose of an OCR is to make editable documents from existing paper documents or image files.
Redwan Islam
core +1 more source
Engineering Reports, Volume 7, Issue 12, December 2025.This experimental study compares Visual features with Textual features for advertisement image classification and reveals that for Advertisement Images, Textual Features provide superior image understanding, resulting in significantly higher classification accuracies (96.88% to 97.37%) as compared to the highest classification accuracy of 71.41 ...
Pooja Jain +3 more
wiley +1 more source
Identifying Going Concern Audit Opinions Using Supervised Machine Learning
Intelligent Systems in Accounting, Finance and Management, Volume 32, Issue 4, December 2025.ABSTRACT This paper evaluates the use of supervised machine learning to automatically identify going concern–modified audit reports. Models based on two different classifiers—logistic regression and extreme gradient boosting—achieve strong classification performance for this task.
Dennis Hedback
wiley +1 more source