research-article

IAMonDo-database: an online handwritten document database with non-uniform contents

Authors:

Emanuel Indermühle,

Marcus Liwicki,

Horst BunkeAuthors Info & Claims

DAS '10: Proceedings of the 9th IAPR International Workshop on Document Analysis Systems

Pages 97 - 104

https://doi.org/10.1145/1815330.1815343

Published: 09 June 2010 Publication History

Abstract

In this paper we present a new database of online handwritten documents with different contents such as text, drawings, diagrams, formulas, tables, lists, and markings. It was designed to serve as a standard dataset for the development, training, testing and comparison of methods in the field of handwritten document analysis. The database can serve as a basis for layout analysis, and different segmentation and recognition tasks considering online or just offline information. Its size is 1,000 documents produced by approximately 200 writers including a total of 329,849 online strokes. Few constraints were imposed on the writers when creating the documents. Nonetheless, the database has a stable distribution of the different content types. A software tool was developed to allow easy access to the documents which are stored in InkML. In this paper we also present two experiments which show the challenge this database poses. They may figure as references for further research in this area.

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Cited By

Shi LCampbell RChi PCirimele MCleron MClimer KFleming CGanti AGervais PGonnet PKarim TMaksai AMelancon CMickle RMusat CNandy PQu XRobishaw DSingh AVenkatesan M(2024)Inkeraction: An Interaction Modality Powered by Ink Recognition and SynthesisProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642498(1-26)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642498
Liu JZhang YYin FLiu C(2024)Transformer-based stroke relation encoding for online handwriting and sketchesPattern Recognition10.1016/j.patcog.2023.110131148(110131)Online publication date: Apr-2024
https://doi.org/10.1016/j.patcog.2023.110131
Bhowmik SRisat SSarkar B(2024)DSANet: dilated spatial attention network for the detection of text, non-text and touching components in unconstrained handwritten documentsNeural Computing and Applications10.1007/s00521-024-10013-836:27(16959-16976)Online publication date: 4-Jun-2024
https://doi.org/10.1007/s00521-024-10013-8
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IAMonDo-database: an online handwritten document database with non-uniform contents

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cover image ACM Other conferences

DAS '10: Proceedings of the 9th IAPR International Workshop on Document Analysis Systems

June 2010

490 pages

ISBN:9781605587738

DOI:10.1145/1815330

General Chairs:
David Doermann
University of Maryland, College Park
,
Venu Govindaraju
University at Buffalo, SUNY
,
Daniel Lopresti
Lehigh University
,
Prem Natarajan
Raytheon BBN Technologies

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 June 2010

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DAS '10

DAS '10: The Eighth IAPR International Workshop on Document Analysis Systems

June 9 - 11, 2010

Massachusetts, Boston, USA

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Cited By

Shi LCampbell RChi PCirimele MCleron MClimer KFleming CGanti AGervais PGonnet PKarim TMaksai AMelancon CMickle RMusat CNandy PQu XRobishaw DSingh AVenkatesan M(2024)Inkeraction: An Interaction Modality Powered by Ink Recognition and SynthesisProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642498(1-26)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642498
Liu JZhang YYin FLiu C(2024)Transformer-based stroke relation encoding for online handwriting and sketchesPattern Recognition10.1016/j.patcog.2023.110131148(110131)Online publication date: Apr-2024
https://doi.org/10.1016/j.patcog.2023.110131
Bhowmik SRisat SSarkar B(2024)DSANet: dilated spatial attention network for the detection of text, non-text and touching components in unconstrained handwritten documentsNeural Computing and Applications10.1007/s00521-024-10013-836:27(16959-16976)Online publication date: 4-Jun-2024
https://doi.org/10.1007/s00521-024-10013-8
Liu JZhang YYin FLiu C(2023)Streaming Stroke Classification of Online HandwritingICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)10.1109/ICASSP49357.2023.10095877(1-5)Online publication date: 4-Jun-2023
https://doi.org/10.1109/ICASSP49357.2023.10095877
Mustafid AYounas JLukowicz PAhmed S(2023)IAMonSense: multi-level handwriting classification using spatiotemporal informationInternational Journal on Document Analysis and Recognition (IJDAR)10.1007/s10032-023-00433-y26:3(303-319)Online publication date: 8-Jun-2023
https://doi.org/10.1007/s10032-023-00433-y
Bhowmik SBhowmik S(2023)Document Region ClassificationDocument Layout Analysis10.1007/978-981-99-4277-0_4(43-65)Online publication date: 1-Aug-2023
https://doi.org/10.1007/978-981-99-4277-0_4
Timofeev AFadeeva AAfonin AMusat CMaksai A(2023)DSS: Synthesizing Long Digital Ink Using Data Augmentation, Style Encoding and Split GenerationDocument Analysis and Recognition - ICDAR 202310.1007/978-3-031-41685-9_14(217-235)Online publication date: 19-Aug-2023
https://doi.org/10.1007/978-3-031-41685-9_14
Wang YWang DYun XZhang YYin FZhu S(2023)A Shallow Graph Neural Network with Innovative Node Updating for Online Handwritten Stroke ClassificationDocument Analysis and Recognition - ICDAR 202310.1007/978-3-031-41685-9_1(3-19)Online publication date: 19-Aug-2023
https://doi.org/10.1007/978-3-031-41685-9_1
Ghosh TSen SObaidullah SSantosh KRoy KPal U(2022)Advances in online handwritten recognition in the last decadesComputer Science Review10.1016/j.cosrev.2022.10051546:COnline publication date: 1-Nov-2022
https://dl.acm.org/doi/10.1016/j.cosrev.2022.100515
Yang YZhang YYun XYin FLiu C(2022)CASIA-onDo: A New Database for Online Handwritten Document AnalysisPattern Recognition10.1007/978-3-031-02444-3_13(174-188)Online publication date: 10-May-2022
https://doi.org/10.1007/978-3-031-02444-3_13
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