Results 81 to 90 of about 4,557,199 (257)

Document Image Binarization Using Retinex and Global Thresholding

ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2015
Document images are usually degraded in the course of photocopying, faxing, printing, or scanning. Degradation problems seems negligible to human eyes but can be responsible for an abrupt decline in accuracy by the current generation of optical character
Marian Wagdy, Ibrahima Faye, Dayang Rohaya   +2 more
doaj   +1 more source

Discursive Governance and Development Goals: A Performative Theory of Corporate Purpose in Sustainability Discourse

Business Strategy and the Environment, EarlyView.
ABSTRACT This study theorises and empirically tests performative purpose alignment theory (PPAT), which conceptualises corporate purpose as a performative artefact materialised through discursive and multimodal signals. To operationalise this, we introduced the SDG–Purpose Alignment Index (SPAI), a computational construct that quantifies the thematic ...
Augustine Okeke, Ifeanyi Ugbebor
wiley   +1 more source

OPTICAL CHARACTER RECOGNITION (OCR) MENGGUNAKAN PRINCIPAL COMPONENT ANALYSIS (PCA) DAN K-NEAREST NEIGHBOURHOOD (KNN) [PDF]

, 2008
ABSTRAKSI: Optical Character Recognition (OCR) adalah teknik yang digunakan untuk menerjemahkan suatu citra yang memuat karakter atau huruf menjadi dokumen teks dalam standar pengkodean seperti ASCII atau Unicode.
GANANG KRISMIARSO
core  

Verbesserung der OCR in digitalen Sammlungen von Bibliotheken

027.7, 2016
Möglichkeiten zur Verbesserung der automatischen Texterkennung (OCR) in digitalen Sammlungen insbesondere durch computerlinguistische Methoden werden beschrieben und bisherige PostOCR-Verfahren analysiert.
Konstantin Baierer, Philipp Zumstein
doaj   +1 more source

Multidimensional Sustainability Performance Measurement in the Banking Industry: A Data‐Driven Grey Decision‐Support Framework

Business Strategy and the Environment, EarlyView.
ABSTRACT Given the critical role that banks play in sustainable development through their financial intermediation and capital allocation functions, assessing their sustainability performance has become an increasingly important research issue.
Özcan Işık, Mohsin Shabir, Alparslan Oğuz, Okan Alkan   +3 more
wiley   +1 more source

MaBaybay-OCR: A Matlab-based Baybayin optical character recognition package

SoftwareX
Optical character recognition (OCR) is a state-of-the-art technology that allows automated detection and recognition of text from scanned documents and other images.
Rodney Pino, Renier Mendoza, Rachelle Sambayan   +2 more
doaj   +1 more source

Language transition on temple inscriptions using Tesseract OCR and T5 model [PDF]

PeerJ Computer Science
Translating ancient languages like Sanskrit poses significant challenges in Natural Language Processing (NLP) due to its complex morphology, low-resource status, and script variations.
Lakshmi Revathi Krosuri, Sai Sri Harsha Chintalapudi   +1 more
doaj   +2 more sources

SDG Reporting in Spanish Listed Companies: A Longitudinal Industry‐Level Analysis Using Natural Language Processing (2018–2023)

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study analyzes the evolution of Sustainable Development Goal (SDG) disclosure among IBEX 35 companies between 2018 and 2023, combining natural language processing for disclosure measurement with negative binomial generalized linear mixed models incorporating financial and governance controls.
Francisco Aguado‐Correa, Juan José de la Vega‐Jiménez, Nuria Padilla‐Garrido, Inmaculada Rabadán‐Martín, José María López‐Jiménez, Ignacio Peletier‐Ribera   +5 more
wiley   +1 more source

Cleaning OCR'd text with Regular Expressions

The Programming Historian, 2013
Optical Character Recognition (OCR)—the conversion of scanned images to machine-encoded text—has proven a godsend for historical research. This process allows texts to be searchable on one hand and more easily parsed and mined on the other. But we’ve all
Laura Turner O'Hara
doaj  

Exploring vaginal microbiota–tissue resident stem cell crosstalk: VCAM1/Akt signaling ‐mediated enhancement of regenerative capacity

Interdisciplinary Medicine, EarlyView.
Vaginal microbiota‐derived secretory factors enhance the regenerative capacity of human endometrial stem cells by upregulating VCAM1 and activating PI3K/Akt signaling. This microbiota–stem cell crosstalk promotes self‐renewal, migration, multilineage differentiation, and metabolic reprogramming in vitro and in vivo, establishing a novel microbiota ...
Soo‐Rim Kim, Eun‐Kyung Min, Choon‐Mi Lee, Kun‐Hee Na, Chan Hum Park, YunJae Jung, Hwa‐Yong Lee   +6 more
wiley   +1 more source