Interactive multimodal transcription of text images using a web-based demo system

ABSTRACT

This document introduces a web based demo of an interactive framework for transcription of handwritten text, where the user feedback is provided by means of pen strokes on a touchscreen. Here, the automatic handwriting text recognition system and the user both cooperate to generate the final transcription.

REFERENCES

• 1: Frederick Jelinek, Statistical methods for speech recognition, MIT Press, Cambridge, MA, 1998
• 2: R. Kneser and H. Ney. Improved backing-off for n-gram language modeling. In Proc. of ICASSP, 1:181--184, 1995.
• 3: V. Romero et al. Improvements in the computer assisted transciption system of handwritten text images. In Proc. of the PRIS, pages 103--112, 2008.
• 4: A. Toselli , V. Romero , L. Rodriguez , E. Vidal, Computer Assisted Transcription of Handwritten Text Images, Proceedings of the Ninth International Conference on Document Analysis and Recognition, p.944-948, September 23-26, 2007
• 5: Alejandro H. Toselli , Verónica Romero , Enrique Vidal, Computer Assisted Transcription of Text Images and Multimodal Interaction, Proceedings of the 5th international workshop on Machine Learning for Multimodal Interaction, September 08-10, 2008, Utrecht, The Netherlands [doi>10.1007/978-3-540-85853-9_27]

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)
      H.5.2 User Interfaces (D.2.2, H.1.2, I.3.6)

Additional Classification:
  I. Computing Methodologies
  I.5 PATTERN RECOGNITION
      I.5.5 Implementation
          Subjects: Interactive systems

General Terms:
Human Factors

Keywords:
handwritten recognition, hci, interactive framework, web