Full Content is available to subscribers

Subscribe/Learn More  >
Proceedings Article

Recognizing online Arabic handwritten characters using a deep architecture

[+] Author Affiliations
Najiba Tagougui

Gabes Univ. (Tunisia)

Monji Kherallah

Univ. de Sfax (Tunisia)

Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103410L (March 17, 2017); doi:10.1117/12.2268419
Text Size: A A A
From Conference Volume 10341

  • Ninth International Conference on Machine Vision (ICMV 2016)
  • Antanas Verikas; Petia Radeva; Dmitry P. Nikolaev; Wei Zhang; Jianhong Zhou
  • Nice, France | November 18, 2016

abstract

Recognizing the online Arabic handwritten script has been gaining more interest because of the impressive advances in mobile device requiring more and more intelligent handwritten recognizers. Since it was demonstrated within many previous research that Deep Neural Networks (DNN) exhibit a great performance, we propose in this work a new system based on a DNN in which we try to optimize the training process by a smooth construct of the deep architecture. The Output’s error of each unit in the previous layer will be computed and only the smallest error will be maintained in the next iteration. This paper uses LMCA database for training and testing data. The experimental study reveals that our proposed DBNN using generated Bottleneck features can outperform state of the art online recognizers. © (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation

Najiba Tagougui and Monji Kherallah
" Recognizing online Arabic handwritten characters using a deep architecture ", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103410L (March 17, 2017); doi:10.1117/12.2268419; http://dx.doi.org/10.1117/12.2268419


Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).

Figures

Tables

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.