Results 11 to 20 of about 6,953 (298)
Proceedings of the 2013 ACM symposium on Document engineering, 2013 The tranScriptorium project aims to develop innovative, efficient and cost-effective solutions for annotating handwritten historical documents using modern, holistic Handwritten Text Recognition (HTR) technology. Three actions are planned in tranScriptorium: i) improve basic image preprocessing and holistic HTR techniques; ii) develop novel indexing ...
Joan-Andreu Sánchez +7 more
core +7 more sources
A set of benchmarks for Handwritten Text Recognition on historical documents [PDF]
Pattern Recognition, 2019 [EN] Handwritten Text Recognition is a important requirement in order to make visible the contents of the myriads of historical documents residing in public and private archives and libraries world wide.
Joan Andreu Sanchez +2 more
exaly +4 more sources
Language Technology for Handwritten Text Recognition
, 2012 Work supported by the EC (FEDER), the Spanish MEC under the MIPRCV “Consolider Ingenio 2010” research programme (CSD2007- 00018) and the Spanisg Government (MICINN and “Plan E”) under the MITTRAL (TIN2009-14633-C03-01) research project.
Alejandro H. Toselli +5 more
openaire +3 more sources
Enhancing handwritten text recognition accuracy with gated mechanisms [PDF]
Scientific ReportsHandwritten Text Recognition (HTR) is a challenging task due to the complex structures and variations present in handwritten text. In recent years, the application of gated mechanisms, such as Long Short-Term Memory (LSTM) networks, has brought ...
Ravikumar Chinthaginjala +7 more
doaj +2 more sources
Discrete representation learning for handwritten text recognition
Neural Computing and Applications, 2023 AbstractHandwritten text recognition, i.e., the conversion of scanned handwritten documents into machine-readable text, is a complex exercise due to the variability and complexity of handwriting. A common approach in handwritten text recognition consists of a feature extraction step followed by a recognizer.
Homa Davoudi +2 more
exaly +2 more sources
PageNet: Towards End-to-End Weakly Supervised Page-Level Handwritten Chinese Text Recognition [PDF]
International Journal of Computer Vision, 2022 Dezhi Peng, Lianwen Jin, Canjie Luo
exaly +2 more sources
A system for the off-line recognition of handwritten text [PDF]
Proceedings of the 12th IAPR International Conference on Pattern Recognition (Cat. No.94CH3440-5), 2002 A new system for the recognition of handwritten text is described. The system goes from raw, binary scanned images of census forms to ASCII transcriptions of the fields contained within the forms. The first step is to locate and extract the handwritten input from the forms.
Breuel, Thomas M.
openaire +3 more sources
Multimodal Handwritten Exam Text Recognition Based on Deep Learning
Applied SciencesTo address the complex challenge of recognizing mixed handwritten text in practical scenarios such as examination papers and to overcome the limitations of existing methods that typically focus on a single category, this paper proposes MHTR, a Multimodal
Hua Shi +4 more
doaj +2 more sources
Online Chinese and English Handwriting Recognition Method Based on Multiple Rules and Path Evaluation [PDF]
Jisuanji gongcheng, 2022 Handwritten text recognition is mainly used in text input technology, which plays a key role in the development of human-computer interaction.To address the lack of functionality for Chinese and English mixed handwritten text recognition in most online ...
FU Pengbin, LIU Penghui, YANG Huirong, DONG Aojing
doaj +1 more source
Advancements and Challenges in Handwritten Text Recognition: A Comprehensive Survey [PDF]
Journal of ImagingWissam Alkendi +2 more
exaly +2 more sources