95 articles 

inria-00112666, version 1

The Influence of Image Complexity on Handwriting Recognition

Amalia Rusu () 1, Venu Govindaraju () 1

Tenth International Workshop on Frontiers in Handwriting Recognition (2006)

  • 1:  Center of Excellence for Document Analysis and Recognition (CEDAR)

  • State University of New York at Buffalo United States

Bibliographic reference

  • Type of document: Peer-reviewed conferences/proceedings
  • Domain:
    Computer Science/Document and Text Processing
    Computer Science/Computer Vision and Pattern Recognition
  • Title: The Influence of Image Complexity on Handwriting Recognition
  • Abstract: Automated recognition of unconstrained handwriting continues to be a challenging research task. In addition to the errors caused by image quality, image features, segmentation, and recognition, in this paper we have also explored the influence of image complexity on handwriting recognition and compared humans' versus machines' recognition. We describe a new methodology that will exploit the gap between the abilities of humans and computers in reading handwritten text images and investigate the influence of handwritten image complexity and Gestalt Laws of perception on this gap. Experimental results are presented and compared for image density and perimetric complexity of handwritten challenges. We make use of current challenges in handwriting recognition for applications in Cyber security.
  • ACM Classification:
    I.: Computing Methodologies/I.5: PATTERN RECOGNITION
    I.: Computing Methodologies/I.7: DOCUMENT AND TEXT PROCESSING
  • Full text language: English
  • Publication date: 2006-10-23
  • Audience: not specified
  • Conference title: Tenth International Workshop on Frontiers in Handwriting Recognition
  • Conference city: La Baule (France)
  • Conference date: 2006-10-23
  • Organizer: Université de Rennes 1
  • Scientific editor(s): Guy Lorette
  • Commercial editor: Suvisoft
  • Keywords: Handwriting recognition – image complexity – CAPTCHA
  • Comment: http://www.suvisoft.com
  • Contract, financing: Université de Rennes 1

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  • inria-00112666, version 1
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  • Submitted on: Thursday, 9 November 2006 14:50:49
  • Updated on: Thursday, 9 November 2006 16:49:21