Optical character reader (OCR) misrecognition is a serious problem when OCR-recognized text is used for retrieval purposes in digital libraries. We have proposed fuzzy retrieval methods that, instead of correcting the errors manually, assume that errors remain in the recognized text. Costs are thereby reduced. The proposed methods generate multiple search terms for each input query term by referring to the con- fusion matrices, which store all characters likely to be misrecognized and the respective probability of each misrecognition. The proposed methods can improve recall rates without decreasing precision rates. However, in English fuzzy retrieval, occasionally a few million search terms are generated, which has an intolerable effect on retrieval speed. Therefore, this paper presents two heuristics to reduce the number of generated search terms by restricting the number of errors included in each expanded search term while maintaining retrieval effectiveness.