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Information retrieval based writer identification

A. Bensefia, T. Paquet, L. Heutte
Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.  
We propose here to exploit the same feature set but using an information retrieval paradigm to describe and compare the handwritten query to each sample of handwriting in the database.  ...  This communication deals with the Writer Identification task. Our previous work has shown the interest of using the graphemes as features for describing the individual properties of Handwriting.  ...  In this communication we have presented an information retrieval based writer identification method.  ... 
doi:10.1109/icdar.2003.1227799 dblp:conf/icdar/BensefiaPH03 fatcat:rjr3wm3imvcenf4islxyvbgxbi

Information Retrieval System for Handwritten Documents [chapter]

Sargur Srihari, Anantharaman Ganesh, Catalin Tomai, Yong-Chul Shin, Chen Huang
2004 Lecture Notes in Computer Science  
System indexing and retrieval is based on writer characteristics, textual content as well as document meta data such as writer profile.  ...  The design and performance of a content-based information retrieval system for handwritten documents is described.  ...  Query Methods Based on Meta-data. Meta-data are text data such as identification number, writer and other collateral information.  ... 
doi:10.1007/978-3-540-28640-0_28 fatcat:dih37sul6nf5tm5irpkqehlnlm

Handwritten Document Analysis for Automatic Writer Recognition

Ameur Bensefia, Thierry Paquet, Laurent Heutte
2005 ELCVIA Electronic Letters on Computer Vision and Image Analysis  
A textual based Information Retrieval model is used for the writer identification stage. This allows the use of a particular feature space based on feature frequencies.  ...  The approach achieves 95% correct identification on the PSI_DataBase and 86% on the IAM_DataBase. Then writer hypothesis retrieved are analysed during a verification phase.  ...  Information Retrieval Model In this study we formulate the writer identification task within the framework of Information Retrieval.  ... 
doi:10.5565/rev/elcvia.97 fatcat:pp4hx6jq5vbatfjsfw3f42rszu

Re-ranking for Writer Identification and Writer Retrieval [article]

Simon Jordan, Mathias Seuret, Pavel Král, Ladislav Lenc, Jiří Martínek, Barbara Wiermann, Tobias Schwinger, Andreas Maier, Vincent Christlein
2020 arXiv   pre-print
To the best of our knowledge, re-ranking has not been used for writer identification/retrieval.  ...  We show that a re-ranking step based on k-reciprocal nearest neighbor relationships is advantageous for writer identification, even if only a few samples per writer are available.  ...  Related Work Writer Identification Offline text-independent writer identification and retrieval methods can be grouped into codebook-based methods and codebook-free methods.  ... 
arXiv:2007.07101v1 fatcat:n4rm377nezdezg2sqjpyuosxg4

FragNet: Writer Identification using Deep Fragment Networks

Sheng He, Lambert Schomaker
2020 IEEE Transactions on Information Forensics and Security  
Writer identification based on a small amount of text is a challenging problem.  ...  In this paper, we propose a new benchmark study for writer identification based on word or text block images which approximately contain one word.  ...  Writer identification based on word images is more challenging than writer identification based on page images since the writer-related style information in word images is limited for modeling the writer's  ... 
doi:10.1109/tifs.2020.2981236 fatcat:nv7u2xr5qbfctobw63lufi2br4

Text-Dependent Writer Identification for Arabic Handwriting

Somaya Al-Maadeed
2012 Journal of Electrical and Computer Engineering  
This paper proposes a system for text-dependent writer identification based on Arabic handwriting. First, a database of words was assembled and used as a test base.  ...  We evaluated the performance of edge-based directional probability distributions as features, among other characteristics, in Arabic writer identification.  ...  One can consider these two applications from the perspective of either textual or graphical information retrieval problems.  ... 
doi:10.1155/2012/794106 fatcat:asucze754jbhloigghvkqszody

Automatic writer identification framework for online handwritten documents using character prototypes

Guo Xian Tan, Christian Viard-Gaudin, Alex C. Kot
2009 Pattern Recognition  
These distributions model the unique handwriting styles of the writers. The proposed system attained an accuracy of 99.2% when retrieved from a database of 120 writers.  ...  This paper proposes an automatic text-independent writer identification framework that integrates an industrial handwriting recognition system, which is used to perform an automatic segmentation of an  ...  Both of these works make use of information retrieval techniques in their systems. Information retrieval (IR) techniques are gaining popularity in writer identification.  ... 
doi:10.1016/j.patcog.2008.12.019 fatcat:si4a4whfvjdr7lrgqrbjbeulsq

Knowledge Organization in the New Era Using DIY Corpora as Writing Assistants [chapter]

Olívia Pestana, Rui Sousa-Silva
2020 Knowledge Organization at the Interface  
of collocations and identification of specialized language phraseology.  ...  This paper aims to show how tools such as the Corpógrafo (Maia and Sarmento 2005), a web-based environment for corpora research (DIY -Do it Yourself corpora), can be used to provide writing assistance,  ...  Retrieval of collocations and identification of specialized phraseology Retrieval of collocations from corpora has a significant potential for providing writing assistance to inexperienced writers.  ... 
doi:10.5771/9783956507762-517 fatcat:gpuw7yxwszax3fwi6wzwa6g5iy

Impact of Alphabet Knowledge on Online Writer Identification

Guo Xian Tan, Christian Viard-Gaudin, Alex C. Kot
2009 2009 10th International Conference on Document Analysis and Recognition  
Experiments related to the reduction in dimensionality of the writer identification system are also reported.  ...  Character prototype approaches for writer identification produces a consistent set of templates that are used to model the handwriting styles of writers, thereby allowing high accuracies to be attained  ...  Recent advances in writer identification depict an increasing trend of more Information Retrieval (IR) based prototype matching approaches due to its simplicity in design and encouraging results [3-5,  ... 
doi:10.1109/icdar.2009.165 dblp:conf/icdar/TanVK09 fatcat:ujkszqcpp5edfixyx4ahjt56um


Shehzad Khalid, Uzma Naqv, Sana Shokat
2016 Jurnal Teknologi  
Application of writer identification in different language domains is also discussed. Future directions for the automated writer identification are presented in the end.  ...  This paper reviews various text independent writer identification techniques through offline documents. Different features extraction methods are discussed.  ...  In [8] used textual based Information Retrieval model for the writer identification that allows the use of a specific feature space on the basis of feature frequencies.  ... 
doi:10.11113/jt.v78.8252 fatcat:cq3yqawmijcm3kqbagd7h6cg3u

Document Writer Analysis with Rejection for Historical Arabic Manuscripts

Daniel Fecker, Abedelkadir Asi, Werner Pantke, Volker Margner, Jihad El-Sana, Tim Fingscheidt
2014 2014 14th International Conference on Frontiers in Handwriting Recognition  
Automatic identification of writers in historical manuscripts can support historians to gain insights into manuscripts with missing metadata such as writer name, period, and origin.  ...  In this paper writer classification and retrieval approaches for multi-page documents in the context of historical manuscripts are presented.  ...  Retrieval Writer identification can also be seen as a writer retrieval task. Here, the goal is to retrieve document pages of a given writer from S.  ... 
doi:10.1109/icfhr.2014.130 dblp:conf/icfhr/FeckerAPMEF14 fatcat:7ussdfgs7rdv7ga7hykypw6jkq

Writer Identification and Writer Retrieval Based on NetVLAD with Re-ranking [article]

Shervin Rasoulzadeh, Bagher Babaali
2020 arXiv   pre-print
This paper addresses writer identification and retrieval which is a challenging problem in the document analysis field.  ...  Experimental evaluation shows that our writer identification and writer retrieval pipeline is superior compared to the state-of-the-art pipelines, as our results on the publicly available ICDAR13 and CVL  ...  The structure of this work is as follows: In Section 2 some deep-learning-based related work in the field of writer identification and retrieval, as well as re-rankings, are discussed.  ... 
arXiv:2012.06186v2 fatcat:7ylsah6udzf3plfxo37y4ufoem

Unsupervised Feature Learning for Writer Identification and Writer Retrieval [article]

Vincent Christlein, Martin Gropp, Stefan Fiel, Andreas Maier
2017 arXiv   pre-print
The focus lies on the ICDAR17 competition dataset on historical document writer identification (Historical-WI).  ...  We show that the activation features trained without supervision are superior to descriptors of state-of-the-art writer identification methods.  ...  In this paper, we focus on the task of writer identification and writer retrieval.  ... 
arXiv:1705.09369v3 fatcat:pyilgtgx5jaorfubdbzrnpvj6i

ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents [article]

Vincent Christlein and Anguelos Nicolaou and Mathias Seuret and Dominique Stutzmann and Andreas Maier
2019 arXiv   pre-print
We focus on the task of automatic image retrieval to simulate common scenarios of humanities research, such as writer retrieval.  ...  This competition investigates the performance of large-scale retrieval of historical document images based on writing style.  ...  We believe that in the future, more neural network-based approaches will dominate also retrieval-based tasks, such as writer identification/retrieval.  ... 
arXiv:1912.03713v1 fatcat:7lhdkywotfay5mc36v43cjixha

Handwritten Document Image Retrieval

M. S. Shirdhonkar, Manesh B. Kokare
2012 International Journal of Modeling and Optimization  
Index Terms-Document image analysis and retrieval, Contourlet Transform, document similarity measurement, handwritten documents, handwriting classification and retrieval, writer identification.  ...  Many techniques have been reported for handwritten based document image retrieval.  ...  their retrieval system dedicated to forensics applications such as writer identification.  ... 
doi:10.7763/ijmo.2012.v2.212 fatcat:7biy776vkjefnld3w44laijppy
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