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
Multi-stage deep learning framework for robust recognition of overlapping and faded handwritten text in bank cheques [PDF]
Scientific ReportsAutomated recognition of handwritten text on bank cheques is crucial for streamlining financial transactions and reducing manual errors. However, traditional systems often encounter two significant challenges: differentiating overlapping handwritten and ...
Hitesh Chaitanyaswami +6 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
Handwritten Text Recognition for Marriage Register Books
2011 International Conference on Document Analysis and Recognition, 2011 Marriage register books are documents that were used for centuries by ecclesiastical institutions to register marriages. Most of these books were handwritten. These documents have interesting information, useful for demography studies. The information in these books is usually collected by expert demographers that devote a lot of time to transcribe ...
Verónica Romero 0001 +3 more
openaire +3 more sources
A comprehensive review of detection, optical character recognition, and structuring methods for herbarium label digitization. [PDF]
Appl Plant SciAbstract Global herbarium digitization has produced over 50 million specimen images, many of which contain handwritten or printed labels with rich metadata such as species names, collection dates, localities, and ecological notes. Manual transcription of this information is labor intensive, error prone, and not scalable, which has motivated the ...
Abbad H +7 more
europepmc +2 more sources
HMM-based Offline Recognition of Handwritten Words Crossed Out with Different Kinds of Strokes [PDF]
, 2008 In this work, we investigate the recognition of words that have been crossed-out by the writers and are thus degraded. The degradation consists of one or more ink strokes that span the whole word length and simulate the signs that writers use to cross ...
Vinciarelli, A., Likforman-Sulem, L.
core +8 more sources
Performance of hidden Markov model and dynamic Bayesian network classifiers on handwritten Arabic word recognition [PDF]
, 2011 This paper presents a comparative study of two machine learning techniques for recognizing handwritten Arabic words, where hidden Markov models (HMMs) and dynamic Bayesian networks (DBNs) were evaluated.
Alkhateeb, Jawad H. +3 more
core +4 more sources
Handwritten text generation and strikethrough characters augmentation
Компьютерная оптика, 2022 We introduce two data augmentation techniques, which, used with a Resnet-BiLSTM-CTC network, significantly reduce Word Error Rate and Character Error Rate beyond best-reported results on handwriting text recognition tasks.
A.V. Shonenkov +5 more
doaj +1 more source
Handwritten Text Recognition for Bengali [PDF]
2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR), 2016 This work has been partially supported through the European Union’s H2020 grant READ (Recognition and Enrichment of Archival Documents) (Ref: 674943) and partially supported by MINECO/FEDER, UE under project TIN2015-70924-C2-1-R.
Sanchez, Joan Andreu, Pal, Umapada
openaire +3 more sources
Component-based Segmentation of words from handwritten Arabic text [PDF]
, 2009 Efficient preprocessing is very essential for automatic recognition of handwritten documents. In this paper, techniques on segmenting words in handwritten Arabic text are presented.
AlKhateeb, J. H. +3 more
core +4 more sources