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An integrated algorithm for text recognition: comparison with a cascaded algorithm.

J J Hull1, S N Srihari, R Choudhari

  • 1Department of Computer Science, State University of New York at Buffalo, Amherst, NY 14226.

IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
PubMed
Summary
This summary is machine-generated.

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This study compares two algorithms for text recognition and error correction using channel characteristics, bottom-up context, and top-down context. Results show sequential processing offers a balance between accuracy and computational efficiency.

Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Natural Language Processing

Background:

  • Text recognition and error correction are crucial for accurate data processing.
  • Letter substitution errors pose a significant challenge in automated text analysis.

Purpose of the Study:

  • To evaluate the effectiveness of integrating diverse knowledge sources for text error correction.
  • To compare two distinct algorithmic approaches for handling letter substitution errors.

Main Methods:

  • Utilized three knowledge sources: channel characteristics, bottom-up context (letter conditional probabilities), and top-down context (lexicon).
  • Developed and compared two algorithms: one for single-step integration and another for sequential bottom-up and top-down processing.
  • Assessed algorithms based on computational/storage requirements and experimental results.

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Main Results:

  • The sequential cascading algorithm demonstrated comparable accuracy to the integrated approach.
  • Sequential processing showed advantages in computational and storage efficiency.
  • Both algorithms effectively utilized the defined knowledge sources for error correction.

Conclusions:

  • Integrating multiple knowledge sources significantly improves text recognition and error correction.
  • Sequential processing offers a computationally efficient yet effective strategy for correcting letter substitution errors.
  • The choice of algorithm depends on the trade-off between performance and resource availability.