Optimal techniques in OCR error correction for Japanese texts

This paper investigates three fundamental techniques in OCR error correction for Japanese texts using morphological analysis: (1) an optimal method for candidate word extraction from a candidate character lattice, (2) optimal word entries for Japanese verb inflection analysis, and (3) a new method of word matching cost calculation which is more suitable to be used with linguistic criteria. Comparative evaluation shows that the combination of these techniques requires 84% less computation, captures 2.6% more candidate words, reduces the chart parsing computation by 20%, and attains 25% higher error correction rate than a commonly used method