Integration Of Visual Inter-word Constraints And Linguistic Knowledge In   Degraded Text Recognition
  Degraded text recognition is a difficult task. Given a noisy text image, a word recognizer can be applied to generate several candidates for each word image. High-level knowledge sources can then be used to select a decision from the candidate set for each word image. In this paper, we propose that visual inter-word constraints can be used to facilitate candidate selection. Visual inter-word constraints provide a way to link word images inside the text page, and to interpret them systematically. 
Tao Hong (Center of Excellence for Document Analysis and Recognition,   Department of Computer Science, State University of ...