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A Set of Geometrical Features for Writer Identification

2012
Writer identification is an important field in the forensic document examination. We propose in this paper a set of geometrical features that makes it possible to characterize writers. They include directions, curvatures and tortuosities. We show how these features can be combined with edge based directional features as well as chain code based ...
Abdelaali Hassaïne   +2 more
openaire   +1 more source

Author identification using writer-dependent and writer-independent strategies

Proceedings of the 2008 ACM symposium on Applied computing, 2008
In this work we discuss author identification for documents written in Portuguese. Two different approaches were compared. The first is the writer-independent model which reduces the pattern recognition problem to a single model and two classes, hence, makes it possible to build robust system even when few genuine samples per writer are available.
Daniel Pavelec   +3 more
openaire   +1 more source

On writer identification for Arabic historical manuscripts

International Journal on Document Analysis and Recognition (IJDAR), 2017
This paper introduces new methodologies for reliably identifying writers of Arabic historical manuscripts. We propose an approach that transforms key point-based features, such as SIFT, into a global form that captures high-level characteristics of writing styles.
Abedelkadir Asi   +4 more
openaire   +2 more sources

Using Markov chains for identification of writers

Literary and Linguistic Computing, 2001
In this paper we present a technique for authorship attribution based on a simple Markov chain of letters, i.e. only letter bigrams are used. Many proposed methods of authorship attribution are illustrated on small examples. We show that this technique provides excellent results when applied to over 380 texts from the Project Gutenberg archives, as ...
Dmitry V. Khmelev, Fiona J. Tweedie
openaire   +2 more sources

Writer Identification in Noisy Handwritten Documents

2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 2017
Identifying the writer of a handwritten document based on visual features is difficult, as evidenced by the limited number of subject matter experts proficient in forensic document analysis. Automating writer identification would be beneficial for such experts' workloads.
Karl Ni, Patrick Callier, Bradley Hatch
openaire   +1 more source

Representation Learning and Dissimilarity for Writer Identification

2019 International Conference on Systems, Signals and Image Processing (IWSSIP), 2019
Writer identification by using manuscripts became a very important research topic in forensic analysis of documents. That is because the writing can be considered as an identifying characteristic of a person. By analyzing the challenges and the resources available for the research development in this field of investigation, one can find different ...
Lucas Georges Helal   +5 more
openaire   +2 more sources

Writer identification on historical Glagolitic documents

SPIE Proceedings, 2013
This work aims at automatically identifying scribes of historical Slavonic manuscripts. The quality of the ancient documents is partially degraded by faded-out ink or varying background. The writer identification method used is based on image features, which are described with Scale Invariant Feature Transform (SIFT) features. A visual vocabulary is
Stefan Fiel   +3 more
openaire   +2 more sources

Information retrieval based writer identification

Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., 2005
This communication deals with the Writer Identificationtask. Our previous work has shown the interest of usingthe graphemes as features for describing the individualproperties of Handwriting. We propose here to exploit thesame feature set but using an information retrievalparadigm to describe and compare the handwritten queryto each sample of ...
Ameur Bensefia   +2 more
openaire   +3 more sources

Feature relevance analysis for writer identification

SPIE Proceedings, 2011
This work presents an analytical study on the relevance of features in an existing framework for writer identification from offline handwritten document images. The identification system comprises a set of 15 features combining the orientation and curvature information in a writing with the well-known codebook based approach.
Imran Siddiqi   +2 more
openaire   +2 more sources

The Impact of Ruling Lines on Writer Identification

2010 12th International Conference on Frontiers in Handwriting Recognition, 2010
Paper often includes pre-printed ruling lines to help people write more neatly. This particular example of real- world noise can have a serious impact on applications such as handwriting recognition and writer identification, however. In this work, we investigate the effects of ruling lines on writer ID.
Jin Chen 0005   +2 more
openaire   +1 more source

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