Handwritten and Printed Text Separation: Linearity and Regularity Assessment | SpringerLink
Skip to main content

Handwritten and Printed Text Separation: Linearity and Regularity Assessment

  • Conference paper
  • First Online:
Image Analysis and Recognition (ICIAR 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8814))

Included in the following conference series:

Abstract

In this paper, we address the issue of discerning handwriting from machine-printed text in real documents (This work is funded by the PiXL project, supported by the “Fonds national pour laSociété Numérique” of the French State. http://valconum.fr/index.php/les-projets/pixl). We present a reliable method based on a novel set of features belonging to two different categories, linearity and regularity, invariant to translation and scaling. Specifically, a novel linearity measure derived from the histogram of straight line segment lengths is introduced. The resulting framework is independent of the document layout andsupports any latin language used. Its performances are assessed on real documents dataset comprising heterogeneous administrative images.Experimental results demonstrate its accuracy, allowing up to 90 % recognition rate.

The authors would like to thank ITESOFT society for providing the dataset and for their help to carry out the comparison with Belaid et al. method [1].

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 5719
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 7149
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Belaïd, A., Santosh, K.C., D’Andecy, V.P.: Handwritten and printed text separation in real document. CoRR, abs/1303.4614 (2013)

    Google Scholar 

  2. Zagoris, K., Pratikakis, I., Antonacopoulos, A., Gatos, B., Papamarkos, N.: Handwritten and machine printed text separation in document images using the bag of visual words. In: International Conference on Frontiers in Handwriting Recognition (2012)

    Google Scholar 

  3. Peng, X., Setlur, S., Govindaraju, V., Sitaram, R.: Handwritten text separation from annotated machine printed documents using markov random fields. IJDAR 16(1), 1–16 (2013)

    Article  Google Scholar 

  4. Wahl, R., Wong, K., Casey, R.: Block Segmentation and Text Extraction in Mixed Text/Image Documents. IBM Research Lab, San Jose, California, Research Report RJ3356 (40312) (December 1981)

    Google Scholar 

  5. Zheng, Y., Li, H., Doermann, D.: Machine printed text and handwriting identification in noisy document images. University of Maryland, College Park, Technical Report (September 2003)

    Google Scholar 

  6. Shirdhonkar, M., Kokare, M.B.: Discrimination between printed and handwritten text in documents. IJCA 3, 131–134 (2010). Special Issue on RTIPPR

    Google Scholar 

  7. Bilane, P., Bres, S., Emptoz, H.: Robust directional features for wordspotting in degraded syriac manuscripts. In: International Workshop on Content-Based Multimedia Indexing, CBMI 2008, pp. 526–533 (June 2008)

    Google Scholar 

  8. Berlemont, S., Aaron, B., Cloppet, F., Olivo-Marin, J.-C.: Detection of linear structures in biological images. In: Conference Record of the Forty-First Asilomar, Signals, Systems and Computers 2007, pp. 1279–1283 (November 2007)

    Google Scholar 

  9. Siddiqi, I., Vincent, N.: Text independent writer recognition using redundant writing patterns with contour-based orientation and curvature features. Pattern Recognition 43(11), 3853–3865 (2010)

    Article  MATH  Google Scholar 

  10. Wall, K., Danielsson, P.-E.: A fast sequential method for polygonal approximation of digitized curves. Computer Vision Graphics and Image Processing 28(3), 220–227 (1984)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sameh Hamrouni .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Hamrouni, S., Cloppet, F., Vincent, N. (2014). Handwritten and Printed Text Separation: Linearity and Regularity Assessment. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2014. Lecture Notes in Computer Science(), vol 8814. Springer, Cham. https://doi.org/10.1007/978-3-319-11758-4_42

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11758-4_42

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11757-7

  • Online ISBN: 978-3-319-11758-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics