Results 31 to 40 of about 41,653,367 (301)

Cluttered TextSpotter: An End-to-End Trainable Light-Weight Scene Text Spotter for Cluttered Environment

IEEE Access, 2020
Scene text spotting aims at simultaneously localizing and recognizing text instances, symbols, and logos in natural scene images. Scene text detection and recognition approaches have received immense attention in computer vision research community.
Randheer Bagi, Tanima Dutta, Hari Prabhat Gupta   +2 more
doaj   +1 more source

End-to-End Measure for Text Recognition [PDF]

2019 International Conference on Document Analysis and Recognition (ICDAR), 2019
Measuring the performance of text recognition and text line detection engines is an important step to objectively compare systems and their configuration. There exist well-established measures for both tasks separately. However, there is no sophisticated evaluation scheme to measure the quality of a combined text line detection and text recognition ...
Gundram Leifert, Roger Labahn, Tobias Grüning, Svenja Leifert   +3 more
openaire   +3 more sources

MIDV-2020: a comprehensive benchmark dataset for identity document analysis

Компьютерная оптика, 2022
Identity documents recognition is an important sub-field of document analysis, which deals with tasks of robust document detection, type identification, text fields recognition, as well as identity fraud prevention and document authenticity validation ...
K.B. Bulatov, E.V. Emelianova, D.V. Tropin, N.S. Skoryukina, Y.S. Chernyshova, A.V. Sheshkus, S.A. Usilin, Z. Ming, J.-C. Burie, M.M. Luqman, V.V. Arlazarov   +10 more
doaj   +1 more source

Kurdish Handwritten Text Recognition

ARO-The Scientific Journal of Koya University
Based on the available peer-reviewed literature, Kurdish handwritten recognition remains at a nascent stage, with existing models limited to isolated character, digit, and word recognition.
Karez A. Hamad, Shareef M. Shareef
doaj   +1 more source

An End-to-End Scene Text Recognition for Bilingual Text

Big Data and Cognitive Computing
Text localization and recognition from natural scene images has gained a lot of attention recently due to its crucial role in various applications, such as autonomous driving and intelligent navigation.
Bayan M. Albalawi, Amani T. Jamal, Lama A. Al Khuzayem, Olaa A. Alsaedi   +3 more
doaj   +1 more source

Text-detection and -recognition from natural images [PDF]

, 2020
Text detection and recognition from images could have numerous functional applications for document analysis, such as assistance for visually impaired people; recognition of vehicle license plates; evaluation of articles containing tables, street signs ...
Hanaa Mahmood (1249353)
core   +1 more source

Text Recognition, Text Scanner, Handwriting Text Recognition OCR

International Research Journal on Advanced Engineering and Management (IRJAEM)
This project focuses on the development of a native iOS application for Optical Character Recognition (OCR) using Apple’s Vision Framework. The app is designed to detect, extract, and digitize both printed and handwritten text from various image sources, providing users with a fast, accurate, and convenient tool for tasks such as document scanning ...
null Shodha H M, null Pintu Kumar
openaire   +1 more source

Text detection and recognition in urban scenes [PDF]

2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), 2011
Text detection and recognition in real images taken in unconstrained environments, such as street view images, remain surprisingly challenging in Computer Vision. In this paper, we present a comprehensive strategy combining bottom-up and top-down mechanisms to detect Text boxes. The bottom-up part is based on character segmentation and grouping .
Minetto, Rodrigo, Thome, Nicolas, Cord, Matthieu, Stolfi, Jorge, Precioso, Frédéric, Guyomard, Jonathan, Leite, Neucimar J.   +6 more
openaire   +2 more sources

Bridging the Loneliness Gap: Depression, Connectivity, and Isolation in Pediatric Oncology Patients and Their Peers

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld, Scott H. Maurer, Michelle D. Watkinson, John Nury, Elise Barberis, Molly C. Mack   +5 more
wiley   +1 more source

CommuSpotter: Scene Text Spotting with Multi-Task Communication

Applied Sciences, 2023
Scene text spotting is a challenging multi-task modulation for locating and recognizing texts in complex scenes. Existing end-to-end text spotters generally adopt sequentially decoupled multi-tasks, consisting of text detection and text recognition ...
Liang Zhao, Greg Wilsbacher, Song Wang
doaj   +1 more source