Results 51 to 60 of about 1,659 (221)
Two-Step CNN Framework for Text Line Recognition in Camera-Captured Images
In this paper, we introduce an “on the device” text line recognition framework that is designed for mobile or embedded systems. We consider per-character segmentation as a language-independent problem and individual character recognition as
Yulia S. Chernyshova +2 more
doaj +1 more source
Which OCR toolset is good and why : A comparative study
Optical Character Recognition (OCR) is a very active research area in many scientific disciplines like pattern recognition, natural language processing (NLP), computer vision, biomedical informatics, machine learning and artificial intelligence.
Pooja Jain +2 more
doaj +1 more source
This article provides important geometric formulas for node‐centered, edge‐based schemes in any number of dimensions. These formulas are noteworthy, as they do not require the explicit formation of dual regions. We prove several key geometric results, with a particular focus on the four‐dimensional case, due to potential space‐time applications ...
Nicholas Tufillaro +2 more
wiley +1 more source
Named Entity Recognition (NER), search, classification, and tagging of names and name like frequent informational elements in texts, has become a standard information extraction procedure for textual data.
Teemu Ruokolainen, Kimmo Kettunen
doaj +1 more source
In this paper we present an OCR correction pipeline for 19th century printed Danish fraktur (gothic/blackletter). The work has been carried out at the University of Copenhagen in relation to a research project involving digital explorations of a corpus
Jens Bjerring-Hansen +3 more
doaj +1 more source
ABSTRACT This paper examines the causal impact of federal homeless‐assistance grants on reported homelessness and shelter capacity across 370 Continuums of Care in 2019. We exploit cross‐sectional variation in pre‐1940 housing shares, used in Community Development Block Grant formula allocations, as an instrument for combined CoC and Emergency ...
Luke Maddock, Anita Alves Pena
wiley +1 more source
Neue Frakturmodelle für Tesseract [PDF]
Es werden neue Modelle für die verbesserte Erkennung historischer Schriften mit Tesseract OCR ...
Weil, Stefan
openaire +2 more sources
Dual‐Branch Attention Fusion for Multimodal Sanskrit Script Classification
The proposed system adopts a dual‐branch architecture in which a transformer‐based visual module extracts hierarchical structural features from manuscript images, while a textual module captures linguistic representations derived from recognized script content.
Basaraboyina Yohoshiva +1 more
wiley +1 more source
This study presents a comprehensive analysis of Bengali AI resources, including NLP tools, machine translation systems, speech technologies, and benchmarking datasets. The findings highlight fragmented development across tasks and emphasize the need for integrated resources, unified benchmarks, and multimodal datasets to build a scalable and robust ...
Fairooz Maliha +5 more
wiley +1 more source
Automatische Texterkennung von Druckwerken mit Tesseract
Einführung in Tesseract als Stand-Alone-Produkt sowie in Kombination mit anderen softwaretechnischen Werkzeugen im Rahmen des 1.
Kamlah, Jan, Weil, Stefan
core +1 more source

