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A writer identification and verification system

Pattern Recognition Letters, 2005
In this paper, we show that both the writer identification and the writer verification tasks can be carried out using local features such as graphemes extracted from the segmentation of cursive handwriting. We thus enlarge the scope of the possible use of these two tasks which have been, up to now, mainly evaluated on script handwritings.
Ameur Bensefia, Laurent Heutte
exaly   +3 more sources

The ICDAR2011 Arabic Writer Identification Contest

open access: yes2011 International Conference on Document Analysis and Recognition, 2011
Arabic writer identification is a very active research field. However, no standard benchmark is available for researchers in this field. The aim of this competition is to gather researchers and compare recent advances in Arabic writer identification.
Abdelaali Hassaïne   +4 more
openaire   +3 more sources

Writer identification by writer's invariants

Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition, 2003
This communication deals with the problem of writer identification. If the assumption of writing individuality is true then graphical fragments that constitute it should be individual too. Therefore we propose a morphological grapheme based analysis to make writer identification. Template Matching is the core of the approach.
Ameur Bensefia   +3 more
openaire   +2 more sources

Methods for writer identification

Proceedings of Third International Conference on Electronics, Circuits, and Systems, 2002
Relatively simple methods for writer identification are presented in this work. The problems related to image acquisition, image preprocessing, feature selection and extraction as well as clustering and identification are analyzed. A couple of features is proposed towards a better discrimination result.
Elias N. Zois, Vassilis Anastassopoulos
openaire   +1 more source

Automatic Identification of Writers

1988
Using handwriting as a means of input to a computer has several advantages, currently not appreciated sufficiently. The use of pen (and paper) gives the user the opportunity of providing the computer with textual and graphic information in a “natural” fashion and it is expected that the keyboard will continue to be an obstacle for large-scale human ...
Maarse, F.J.   +2 more
openaire   +2 more sources

Automatic writer identification

open access: yes, 2014
Στόχος αυτής της διπλωματικής είναι η ανάπτυξη συστήματος, το οποίο θα είναι υπεύθυνο για την ταυτοποίηση γραφέα, απο χειρόγραφα κείμενα του. Το σύστημα θα είναι σε θέση να επαληθεύει την ταυτότητα του συγγραφέα ενός χειρόγραφου κειμένου, συγκρίνοντας διάφορα χαρακτηριστικά γραφής του.
Διαμαντάτος, Παρασκευάς - Γεώργιος
openaire   +2 more sources

Writer Identification in Handwritten Documents

Ninth International Conference on Document Analysis and Recognition (ICDAR 2007), 2007
This work presents an effective method for writer identification in handwritten documents. We have developed a local approach, based on the extraction of characteristics that are specific to a writer. To exploit the existence of redundant patterns within a handwriting, the writing is divided into a large number of small sub-images, and the sub-images ...
Imran Siddiqi, Nicole Vincent
openaire   +2 more sources

Writer Retrieval and Writer Identification Using Local Features

2012 10th IAPR International Workshop on Document Analysis Systems, 2012
Writer identification determines the writer of one document among a number of known writers where at least one sample is known. Writer retrieval searches all documents of one particular writer by creating a ranking of the similarity of the handwriting in a dataset.
Stefan Fiel, Robert Sablatnig
openaire   +1 more source

Knowledge Transfer for Writer Identification

2018
The technical literature on writer identification usually considers the best case scenario in terms of data availability, i.e., a database composed of hundreds of writers with several documents per writer is available to train the machine learning models. However, in real-life problems such a database may not be available.
Diego Bertolini   +3 more
openaire   +1 more source

Writer Identification for Handwritten Words

2017
In this work we present a framework for recognizing writer for a handwritten word. We make use of allographic features at sub-word level. Our work is motivated by previous techniques which make use of a codebook. However, instead of encoding the features using the codewords, we exploit the discriminative properties of features that belong to the same ...
Shilpa Pandey, Gaurav Harit
openaire   +2 more sources

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