Multimodal interactive handwritten text transcription / Verónica Romero, Alejandra Héctor Toselli, Enrique Vidal.

This book presents an interactive multimodal approach for efficient transcription of handwritten text images. This approach, rather than full automation, assists the expert in the recognition and transcription process. Until now, handwritten text recognition (HTR) systems are far from being perfect...

Full description

Saved in:
Bibliographic Details
Main Author: Romero, Verónica
Other Authors: Toselli, Alejandro Héctor, Vidal, Enrique
Format: eBook
Language:English
Published: Singapore : World Scientific Pub, 2012.
Series:Series in machine perception and artificial intelligence ; v. 80.
Subjects:
Online Access:Click for online access
Table of Contents:
  • 1. Preliminaries. 1.1. Introduction. 1.2. State of the art. 1.3. Formal background. 1.4. Assessing computer assisted transcription of handwritten text images
  • 2. Corpora. 2.1. Introduction. 2.2. CS. 2.3. ODEC. 2.4. IAMDB. 2.5. UNIPEN
  • 3. Handwritten text recognition. 3.1. Introduction. 3.2. Off-line handwritten text recognition. 3.3. On-line handwritten text recognition. 3.4. Summary and conclusions
  • 4. Computer assisted transcription of handwritten text images. 4.1. Introduction. 4.2. Formal framework. 4.3. Adapting the language model. 4.4. Searching. 4.5. Increasing interaction ergonomy. 4.6. Interacting at the character level. 4.7. Experimental framework. 4.8. Results. 4.9. Conclusions and future work
  • 5. Multimodal computer assisted transcription of handwritten text images. 5.1. Introduction. 5.2. Formal framework. 5.3. Adapting the language model. 5.4. Searching. 5.5. Experimental framework. 5.6. Results. 5.7. Conclusions
  • 6. A web-based demonstrator of interactive multimodal transcription. 6.1. Introduction. 6.2. User interaction protocol. 6.3. System description. 6.4. Evaluation. 6.5. Results and discussion. 6.6. Conclusions
  • 7. Conclusions and outlook. 7.1. Conclusions. 7.2. Outlook.