Results 41 to 50 of about 488,004 (308)

Omnifont recognition of text using topological recognition techniques [PDF]

, 1992
The problem of optical character recognition (OCR) has been studied since the early stages of the computer industry. However, the problem of omnifont text recognition (OTR) (recognition of any kind of document without having information on the typeface ...
Dauw, M., Proceedings. 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems, De Muelenaere, P., Legat, Jean-Didier   +3 more
core   +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   +1 more source

Toward a Low-Resource Non-Latin-Complete Baseline: An Exploration of Khmer Optical Character Recognition

IEEE Access, 2023
Many existing text recognition methods rely on the structure of Latin characters and words. Such methods may not be able to deal with non-Latin scripts that have highly complex features, such as character stacking, diacritics, ligatures, non-uniform ...
Rina Buoy, Masakazu Iwamura, Sovila Srun, Koichi Kise   +3 more
doaj   +1 more source

Text Detection and Recognition for Images of Medical Laboratory Reports With a Deep Learning Approach

IEEE Access, 2020
The adoption of electronic health records (EHRs) is an important step in the development of modern medicine. However, complete health records are not often available during treatment because of the functional problem of the EHR system or information ...
Wenyuan Xue, Qingyong Li, Qiyuan Xue
doaj   +1 more source

OSCAR4: a flexible architecture for chemical text-mining. [PDF]

, 2011
The Open-Source Chemistry Analysis Routines (OSCAR) software, a toolkit for the recognition of named entities and data in chemistry publications, has been developed since 2002.
David M Jessop, Peter Murray-Rust, Lezan Hawizy, Sam E Adams, Murray-rust, Peter, Egon L Willighagen, Adams, Sam E, Jessop, David M, Willighagen, Egon L, Hawizy, Lezan   +9 more
core   +2 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

Personality Facets Recognition from Text [PDF]

, 2019
Fundamental Big Five personality traits (e.g., Extraversion) and their facets (e.g., Activity) are known to correlate with a broad range of linguistic features and, accordingly, the recognition of personality traits from text is a well-known Natural Language Processing task.
Wesley Ramos dos Santos, Ivandré Paraboni   +1 more
openaire   +2 more sources

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

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

Examining and improving the effectiveness of relevance feedback for retrieval of scanned text documents [PDF]

, 2006
Important legacy paper documents are digitized and collected in online accessible archives. This enables the preservation, sharing, and significantly the searching of these documents.
Lam-Adesina, Adenike M., Jones, Gareth J.F.   +1 more
core   +1 more source