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 A Balance Algorithm Between Handwriting Error and User Effort

  

  1. Department of Computer Engineering, Xinjiang Institute of Engineering, Urumqi 830011, China
  • Received:2015-05-11 Online:2015-09-21 Published:2015-09-24

Abstract:

To solve the problem of poor performance in present computer-assisted annotation transcription of handwritten text documents, a new algorithm for predicting the
error rate in a block of automatically recognized words is proposed, and estimates how much effort is required to correct a transcription to a certain user-defined error rate.
Firstly, the main problem in traditional error estimating methods is analyzed. Then, the estimation of the error is performed for a whole block of words to raise the accuracy
rate. Finally, the best-performing techniques presented in previous works are combined to form our method. The proposed method is included in an interactive approach to
transcribe handwritten text documents, which efficiently employs user interactions by means of active and semi-supervised learning techniques. Transcription results, in terms of
trade-off between user effort and transcription accuracy, are reported for two real handwritten documents, and prove the effectiveness of the proposed algorithm.

Key words:  computer-assisted annotation, handwriting recognition, user effort, balance, text transcription, error estimation