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Retrieval of online handwriting by synthesis and matching

C.V. Jawahar, A. Balasubramanian, Million Meshesha, Anoop M. Namboodiri
2009 Pattern Recognition  
The proposed approach provides a keyboard-based search interface that enables to search handwritten data from any platform, in addition to pen-based and example-based queries.  ...  In this paper, we propose a retrieval mechanism for online handwriting, which can handle different writing styles, specifically for Indian languages.  ...  Retrieval of Handwritten Documents Approaches used for searching handwritten documents can be classified into recognition-based and recognition-free techniques.  ... 
doi:10.1016/j.patcog.2008.08.017 fatcat:krfrckza5zg4pbvws3pvy3abuq

Signature Based Document Retrieval Using GHT of Background Information

Partha Pratim Roy, Souvik Bhowmick, Umapada Pal, Jean Yves Ramel
2012 2012 International Conference on Frontiers in Handwriting Recognition  
This paper deals with signature based document retrieval from documents with cluttered background.  ...  During retrieval, Generalized Hough Transform (GHT) is used to detect the query signature and a voting is casted to find possible location of the query signature in a document.  ...  INTRODUCTION Content-based Image Retrieval (CBIR) considers retrieval of visually similar images to a given query image from a database of images.  ... 
doi:10.1109/icfhr.2012.270 dblp:conf/icfhr/RoyBPR12 fatcat:n4vtsh24qvgsfjs7yavrp44w5i

An Oracle-based co-training framework for writer identification in offline handwriting

Utkarsh Porwal, Sreeranga Rajan, Venu Govindaraju, Christian Viard-Gaudin, Richard Zanibbi
2012 Document Recognition and Retrieval XIX  
Traditional forensic document analysis methods have focused on feature-classification paradigm where a machine learning based classifier is used to learn discrimination among multiple writers.  ...  In this paper, we propose a Cotraining based approach that overcomes this limitation by exploiting independence between multiple views (features) of data.  ...  INTRODUCTION Writer Identification is a well studied problem in forensic document analysis where the goal is to correctly label the writer of an unknown handwriting sample.  ... 
doi:10.1117/12.912221 dblp:conf/drr/PorwalRG12 fatcat:lwiwe74aejd4pcwfkebrh4etxy

Generating Handwriting via Decoupled Style Descriptors [article]

Atsunobu Kotani, Stefanie Tellex, James Tompkin
2020 arXiv   pre-print
Existing VRNN approaches to representing handwriting often do not distinguish between these different style components, which can reduce model capability.  ...  This approach also increases flexibility: given a few examples, we can generate handwriting in new writer styles, and also now generate handwriting of new characters across writer styles.  ...  Finally, we thank all anonymous writers who contributed to our dataset.  ... 
arXiv:2008.11354v2 fatcat:w2ukewmmhngbnlbpe6rohc5ica

Online writer identification using character prototypes distributions

Siew Keng Chan, Christian Viard-Gaudin, Yong Haur Tay, Berrin A. Yanikoglu, Kathrin Berkner
2008 Document Recognition and Retrieval XV  
The proposed methodology would strive to identify the writer of a given handwritten document regardless of its text contents by comparing his or her handwritings with those stored in a reference database  ...  Writer identification is a process which aims to identify the writer of a given handwritten document.  ...  Sorting of documents can be done easily based on writer which in return make retrieval process easier.  ... 
doi:10.1117/12.766400 dblp:conf/drr/ChanVT08 fatcat:qqdqlxdil5ciria7fv3y7oewuy

Curvelets Based Queries for CBIR Application in Handwriting Collections

G. Joutel, V. Eglin, S. Bres, H. Emptoz
2007 Proceedings of the International Conference on Document Analysis and Recognition  
This paper presents a new use of the Curvelet transform as a multiscale method for indexing linear singularities and curved handwritten shapes in documents images.  ...  In this way, Curvelets coefficients are used as a representation tool for handwriting when searching in large manuscripts databases by finding similar handwritten samples.  ...  Acknowledgments: We want to thank the palaeographer Denis Muzerelle from the IRHT of Paris for his advices for medieval handwritings classification and also Catherine Volpilhac-Auger from the CERPI of  ... 
doi:10.1109/icdar.2007.4376995 dblp:conf/icdar/JoutelEBE07 fatcat:bzvuox3qefeern5624vgnka2gi

Handwritten Document Image Retrieval

M. S. Shirdhonkar, Manesh B. Kokare
2012 International Journal of Modeling and Optimization  
Many techniques have been reported for handwritten based document image retrieval.  ...  The handwriting of different people is often visually distinctive; we take a global approach based on texture analysis, where each writer's handwriting is regarded as a different texture.  ...  ACKNOWLEDGMENT The authors would like to appreciate all participants who gave permission to use their handwritten documents in this study.  ... 
doi:10.7763/ijmo.2012.v2.212 fatcat:7biy776vkjefnld3w44laijppy

A Complete Pyramidal Geometrical Scheme for Text Based Image Description and Retrieval [chapter]

Guillaume Joutel, Véronique Eglin, Hubert Emptoz
2008 Lecture Notes in Computer Science  
This paper presents a general architecture for ancient handwriting documents content description and retrieval.  ...  The complete implementation scheme is validated with a content based images retrieval (CBIR) application on the medieval database from the IRHT 1 and on the European 18 th century correspondences corpus  ...  The two other on-line applications that are also based on the Curvelet geometric decomposition (spotting and writing styles clustering) are currently under development.  ... 
doi:10.1007/978-3-540-69905-7_54 fatcat:mgpnplgwxzh3bnmientwekcopm

Using content based image retrieval techniques for the indexing and retrieval of Thai handwritten documents

Seksan Sangsawad, Chun Che Fung
2010 2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE)  
This paper proposes the use of content base image retrieval (CBIR) techniques for indexing and retrieval of handwritten documents in Thai language.  ...  The objective of the proposal is to develop a semiautomated method to index and retrieve Thai handwritten documents based on sampled keywords by combining CBIR and signature recognition techniques.  ...  They can also be used to rank the results from the documents or pages, using content-based ranking. This will help to increase speed of retrieval.  ... 
doi:10.1109/iccae.2010.5451992 fatcat:fl4pvxasorhgpkufiibu2zubje

Curvelets based feature extraction of handwritten shapes for ancient manuscripts classification

Guillaume Joutel, Véronique Eglin, Stéphane Bres, Hubert Emptoz, Xiaofan Lin, Berrin A. Yanikoglu
2007 Document Recognition and Retrieval XIV  
The relevance of the signature is quantified with a CBIR (content based image retrieval) system that compares request images and database images candidates.  ...  The aim of this scientific work is to propose a suitable assistance tool for palaeographers and historians to help them in their intuitive and empirical work of identification of writing styles (for medieval  ...  from the CERPI of the ENS-Lettres of Lyon to have helped us to understand the genesis of the Montesquieu's corpus and to have guided to us towards the definition of robust criteria for styles differentiation  ... 
doi:10.1117/12.704450 dblp:conf/drr/JoutelEBE07 fatcat:ifftqvsqffch7oe4piriha3zcm

Word segmentation of off-line handwritten documents

Chen Huang, Sargur N. Srihari, Berrin A. Yanikoglu, Kathrin Berkner
2008 Document Recognition and Retrieval XV  
This paper describes an approach to separate a line of unconstrained (written in a natural manner) handwritten text into words.  ...  Word segmentation is the most critical pre-processing step for any handwritten document recognition/retrieval system.  ...  Secondly, content-based image retrieval techniques, such as word spotting, also require all the word images in the documents to be pre-segmented properly.  ... 
doi:10.1117/12.767055 dblp:conf/drr/HuangS08 fatcat:4tp4te3b2rc7re6k2kkke6kzcy

Classifying Fonts and Calligraphy Styles Using Complex Wavelet Transform [article]

Alican Bozkurt, Pinar Duygulu, A. Enis Cetin
2014 arXiv   pre-print
A generic font-recognition system independent of language, script and content is desirable for processing various types of documents.  ...  Recognizing fonts has become an important task in document analysis, due to the increasing number of available digital documents in different fonts and emphases.  ...  Handwritten documents add an extra component to the analysis because of writing style.  ... 
arXiv:1407.2649v1 fatcat:ll2xhw6xbrcuply4xab6icxbgm

Classifying fonts and calligraphy styles using complex wavelet transform

Alican Bozkurt, Pinar Duygulu, A. Enis Cetin
2015 Signal, Image and Video Processing  
A generic font-recognition system independent of language, script and content is desirable for processing various types of documents.  ...  Recognizing fonts has become an important task in document analysis, due to the increasing number of available digital documents in different fonts and emphases.  ...  Handwritten documents add an extra component to the analysis because of writing style.  ... 
doi:10.1007/s11760-015-0795-z fatcat:he5kba3355h37npsuwtxdjmqui

Information Retrieval Model for Online Handwritten Script Identification

Guo Xian Tan, Christian Viard-Gaudin, Alex C. Kot
2009 2009 10th International Conference on Document Analysis and Recognition  
This paper proposes a novel approach for online handwritten script identification based on the Information Retrieval model.  ...  Script identification has always been a topic of much research interest in the field of document analysis.  ...  and content-based image retrievals [9] [10] [11] .  ... 
doi:10.1109/icdar.2009.162 dblp:conf/icdar/TanVK09a fatcat:qv4iczspvfcm7fcqthkepddyee

Assessing Textural Features for Writer Identification on Different Writing Styles and Forgeries

Diego Bertolini, Luiz S. Oliveira, Edson Justino, Robert Sabourin
2014 2014 22nd International Conference on Pattern Recognition  
To do that, we have performed a series of experiments using the Firemaker database, which provides for the same writer texts written on three different writing styles and also copied forged text.  ...  Regarding the forgeries, the LPQ-based classifier goes further reducing the error rate up to 44 percentage points depending on the writing style used for training.  ...  THE DISSIMILARITY FRAMEWORK Given a queried handwritten document and a reference handwritten document, the aim is to determine whether or not the two documents were produced by the same writer.  ... 
doi:10.1109/icpr.2014.55 dblp:conf/icpr/BertoliniOJS14 fatcat:w5pdjxcgdvdzpj4rfbgb5suto4
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