Results 11 to 20 of about 526,391 (261)

A Multi-Layer Holistic Approach for Cursive Text Recognition

open access: yesApplied Sciences, 2022
Urdu is a widely spoken and narrated language in several South-Asian countries and communities worldwide. It is relatively hard to recognize Urdu text compared to other languages due to its cursive writing style.
Muhammad Umair   +6 more
doaj   +1 more source

A bilingual text detection in natural images using heuristic and unsupervised learning [PDF]

open access: yesJournal of Artificial Intelligence and Data Mining, 2022
Digital images are being produced in a massive number every day. Acomponent that may exist in digital images is text. Textual information can beextracted and used in a variety of fields. Noise, blur, distortions, occlusion, fontvariation, alignments, and
S. Bayatpour, M. Sharghi
doaj   +1 more source

Rooms with Text: A Dataset for Overlaying Text Detection

open access: yesCoRR, 2022
Text in Everything workshop at ECCV ...
Oleg Smirnov, Aditya Tewari
openaire   +2 more sources

Reconsidering the Roman workshop: using computer vision to analyse the making of ancient inscriptions

open access: yesUmanistica Digitale, 2021
This paper describes the preliminary results of an ancient history and computer science collaboration to apply machine learning to the identification of text within images of inscriptions, one of our major sources of evidence for the Roman world.
Charlotte Tupman   +2 more
doaj   +1 more source

Enabling Product Recognition and Tracking Based on Text Detection for Mobile Augmented Reality

open access: yesIEEE Access, 2022
We propose a system that supports real-time product recognition and tracking based on text detection for mobile augmented reality. To accurately distinguish products with visually similar packages, we develop a method that recognizes product names by ...
Sangwon Hwang, Jisun Lee, Seungwoo Kang
doaj   +1 more source

Automatic detection of text genre [PDF]

open access: yesProceedings of the 35th annual meeting on Association for Computational Linguistics -, 1997
As the text databases available to users become larger and more heterogeneous, genre becomes increasingly important for computational linguistics as a complement to topical and structural principles of classification. We propose a theory of genres as bundles of facets, which correlate with various surface cues, and argue that genre detection based on ...
Brett Kessler   +2 more
openaire   +4 more sources

Aggregated Text Transformer for Scene Text Detection

open access: yesCoRR, 2022
This paper explores the multi-scale aggregation strategy for scene text detection in natural images. We present the Aggregated Text TRansformer(ATTR), which is designed to represent texts in scene images with a multi-scale self-attention mechanism. Starting from the image pyramid with multiple resolutions, the features are first extracted at different ...
Zhao Zhou   +3 more
openaire   +3 more sources

Detecting Word Substitutions in Text [PDF]

open access: yesIEEE Transactions on Knowledge and Data Engineering, 2008
Searching for words on a watchlist is one way in which large-scale surveillance of communication can be done, for example in intelligence and counterterrorism settings. One obvious defense is to replace words that might attract attention to a message with other, more innocuous, words.
Fong, SeWong   +2 more
openaire   +4 more sources

Detection of Furigana Text in Images

open access: yesCoRR, 2022
Furigana are pronunciation notes used in Japanese writing. Being able to detect these can help improve optical character recognition (OCR) performance or make more accurate digital copies of Japanese written media by correctly displaying furigana. This project focuses on detecting furigana in Japanese books and comics.
Nikolaj Kjøller Bjerregaard   +2 more
openaire   +3 more sources

Robust Arabic and Pashto Text Detection in Camera-Captured Documents Using Deep Learning Techniques

open access: yesIEEE Access, 2023
In the realm of Document Image Analysis (DIA), the primary objective is to transform image data into a format that can be readily interpreted by machines.
Nisar Khan   +7 more
doaj   +1 more source

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