Stochastic Error-Correcting Parsing for OCR Post-Processing

In this paper, stochastic error-correcting parsing is proposed as a powerful and flexible method to post-process the results of an optical character recognizer (OCR). Deterministic and non-deterministic approaches are possible under the proposed setting. The basic units of the model can be words or complete sentences, and the lexicons or the language databases can be simple enumerations or may convey probabilistic information from the application domain.

• Type: Conference
• Year: 2000
• Where: ICPR
• Authors: Juan Carlos Pérez-Cortes, Juan-Carlos Amengual, Joaquim Arlandis, Rafael Llobet
• Keywords: ICPR 2000, Non-deterministic Approaches, Optical Character Recognizer, Stochastic Error-correcting Parsing