Results 191 to 200 of about 2,861 (219)

Handwritten Khmer text recognition

2016 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), 2016
This paper proposes a model for an offline handwritten Khmer character recognition. We make use of two dimensional Fourier transformation for feature selection and feed-forward Artificial Neural Net as classification tool. The recognition system allows using the nature of Khmer writing, which is an example of alphasyllabary (Abugida) writing systems ...
Bayram Annanurov, Norliza Mohd Noor
openaire   +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, Joan-Andreu Sánchez, Nicolás Serrano, Enrique Vidal 0001   +3 more
openaire   +1 more source

Handwritten text recognition through writer adaptation

Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition, 2003
Handwritten text recognition is a problem rarely studied out of specific applications for which lexical knowledge can constrain the vocabulary to a limited one. In the case of handwritten text recognition, additional information can be exploited to characterize the specificity of the writing.
Ali Nosary, Thierry Paquet, Laurent Heutte, Ameur Bensefia   +3 more
openaire   +1 more source

Handwritten Text Recognition

2019
Handwritten Text Recognition: Transkribus and Learned ...
Petrolini C, Wallnig T
openaire   +2 more sources

Recognition and Grouping of Handwritten Text in Diagrams and Equations

Ninth International Workshop on Frontiers in Handwriting Recognition, 2004
We present a framework for grouping and recognition of characters and symbols in online free-form ink expressions. The approach is completely spatial; it does not require any ordering on the strokes. It also does not place any constraints on the layout of the symbols. Initially each of the strokes on the page is linked in a proximity graph.
Michael Shilman, Paul A. Viola, Kumar Chellapilla   +2 more
openaire   +1 more source

Recognition strategies for general handwritten text documents

Integrated Computer-Aided Engineering, 2009
This paper presents document recognition strategies for two important applications: 1) Recognition of text document containing multiple lines of text data and 2). Comprehensive Check Image Reader This paper describes the challenges in finding and recognizing the fields of interest on the broad document types.
Malayappan Shridhar, Gilles F. Houle, Fumitaka Kimura   +2 more
openaire   +1 more source

Signature Verification Based on Handwritten Text Recognition

2009
Signatures continue to be an important biometric trait because it remains widely used primarily for authenticating the identity of human beings. This paper presents an efficient text-based directional signature recognition algorithm which verifies signatures, even when they are composed of special unconstrained cursive characters which are superimposed
Serestina Viriri, Jules-Raymond Tapamo
openaire   +1 more source

A Database for Offline Arabic Handwritten Text Recognition

2011
Arabic handwritten text recognition has not received the same attention as that directed towards Latin script-based languages. In this paper, we present our efforts to develop a comprehensive Arabic Handwritten Text database (AHTD). At this stage, the database will consist of text written by 1000 writers from different countries. Currently, it has data
Sabri A. Mahmoud, Irfan Ahmad 0001, Mohammad R. Alshayeb, Wasfi G. Al-Khatib   +3 more
openaire   +1 more source

Few shots are all you need: A progressive learning approach for low resource handwritten text recognition

Pattern Recognition Letters, 2022
Yousri Kessentini, Beata Megyesi, Alicia Fornes   +2 more
exaly  

End-to-End page-Level assessment of handwritten text recognition

Pattern Recognition, 2023
Alejandro Toselli, Jorge Calvo-Zaragoza, Enrique Vidal   +2 more
exaly