research-article

A stroke regeneration method for cleaning rule-lines in handwritten document images

Authors:

Huaigu Cao,

Rohit Prasad,

Prem NatarajanAuthors Info & Claims

MOCR '09: Proceedings of the International Workshop on Multilingual OCR

Article No.: 4, Pages 1 - 10

https://doi.org/10.1145/1577802.1577807

Published: 25 July 2009 Publication History

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Abstract

We describe a rule-line removal algorithm for handwritten document images in this paper. Compared to the existing approaches, our algorithm obtains more scalability to higher-resolution images and thicker rule-lines. Derived from the simple gap-filling methods using line-drawing algorithms, we present a novel approach to regenerating the missing portions of text strokes. Using this approach, the deformed text can be restored to its original shape. We also explore the noise filtering method for binarized document images, in particular by choosing the morphological operator in accordance with the noise power of the input image. Our approach has proven to be effective by experiments on both real and synthetic handwritten document images.

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Cited By

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Umadevi KThakare KPatil SRaut RDwivedi AHaldorai A(2022)Dynamic hidden feature space detection of noisy image set by weight binarizationSignal, Image and Video Processing10.1007/s11760-022-02284-217:3(761-768)Online publication date: 8-Aug-2022
https://doi.org/10.1007/s11760-022-02284-2
Gold CZesch T(2022)CNN-Based Ruled Line Removal in Handwritten DocumentsFrontiers in Handwriting Recognition10.1007/978-3-031-21648-0_36(530-544)Online publication date: 25-Nov-2022
https://doi.org/10.1007/978-3-031-21648-0_36
Patil RKarandikar R(2019)Digitization and Parameter Extraction of Preserved Paper Electrocardiogram RecordsImmunological Tolerance10.1007/978-981-13-3600-3_46(487-495)Online publication date: 17-Jan-2019
https://doi.org/10.1007/978-981-13-3600-3_46
Show More Cited By

Index Terms

A stroke regeneration method for cleaning rule-lines in handwritten document images
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
    1. Image manipulation
      1. Image processing

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Information

Published In

MOCR '09: Proceedings of the International Workshop on Multilingual OCR

July 2009

139 pages

ISBN:9781605586984

DOI:10.1145/1577802

General Chairs:
Venu Govindaraju
University at Buffalo
,
Prem Natarajan
BBN Technologies
,
Program Chairs:
Santanu Chaudhury
IIT Delhi
,
Daniel Lopresti
Lehigh University

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: 25 July 2009

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MOCR '09

MOCR '09: International Workshop on Multilingual OCR

July 25, 2009

Barcelona, Spain

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Overall Acceptance Rate 17 of 34 submissions, 50%

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Cited By

View all

Umadevi KThakare KPatil SRaut RDwivedi AHaldorai A(2022)Dynamic hidden feature space detection of noisy image set by weight binarizationSignal, Image and Video Processing10.1007/s11760-022-02284-217:3(761-768)Online publication date: 8-Aug-2022
https://doi.org/10.1007/s11760-022-02284-2
Gold CZesch T(2022)CNN-Based Ruled Line Removal in Handwritten DocumentsFrontiers in Handwriting Recognition10.1007/978-3-031-21648-0_36(530-544)Online publication date: 25-Nov-2022
https://doi.org/10.1007/978-3-031-21648-0_36
Patil RKarandikar R(2019)Digitization and Parameter Extraction of Preserved Paper Electrocardiogram RecordsImmunological Tolerance10.1007/978-981-13-3600-3_46(487-495)Online publication date: 17-Jan-2019
https://doi.org/10.1007/978-981-13-3600-3_46
Chen JLopresti DNagy G(2016)Conservative preprocessing of document imagesInternational Journal on Document Analysis and Recognition10.1007/s10032-016-0273-319:4(321-333)Online publication date: 1-Dec-2016
https://dl.acm.org/doi/10.1007/s10032-016-0273-3
Imtiaz SNagabhushan PGowda S(2014)Rule Line Detection and Removal in Handwritten Text ImagesProceedings of the 2014 Fifth International Conference on Signal and Image Processing10.1109/ICSIP.2014.55(310-315)Online publication date: 8-Jan-2014
https://dl.acm.org/doi/10.1109/ICSIP.2014.55
Cao HNatarajan PPeng XSubramanian KBelanger DLi N(2014)Progress in the Raytheon BBN Arabic Offline Handwriting Recognition System2014 14th International Conference on Frontiers in Handwriting Recognition10.1109/ICFHR.2014.99(555-560)Online publication date: Sep-2014
https://doi.org/10.1109/ICFHR.2014.99
Prokopiou KKavallieratou EStamatatos E(2013)An image processing self-training system for ruling line removal algorithms2013 18th International Conference on Digital Signal Processing (DSP)10.1109/ICDSP.2013.6622767(1-6)Online publication date: Jul-2013
https://doi.org/10.1109/ICDSP.2013.6622767
Chen JLopresti D(2013)Alternatives for Page Skew Compensation in Writer IdentificationProceedings of the 2013 12th International Conference on Document Analysis and Recognition10.1109/ICDAR.2013.189(927-931)Online publication date: 25-Aug-2013
https://dl.acm.org/doi/10.1109/ICDAR.2013.189
Chen JZhang BCao HPrasad RNatarajan P(2012)Applying Discriminatively Optimized Feature Transform for HMM-based Off-Line Handwriting RecognitionProceedings of the 2012 International Conference on Frontiers in Handwriting Recognition10.1109/ICFHR.2012.182(219-224)Online publication date: 18-Sep-2012
https://dl.acm.org/doi/10.1109/ICFHR.2012.182
Chen JLopresti DLamiroy BDey LGovindaraju VLopresti DNatarajan PRinglstetter CRoy S(2011)A real-world noisy unstructured handwritten notebook corpus for document image analysis researchProceedings of the 2011 Joint Workshop on Multilingual OCR and Analytics for Noisy Unstructured Text Data10.1145/2034617.2034620(1-8)Online publication date: 17-Sep-2011
https://dl.acm.org/doi/10.1145/2034617.2034620
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