Statistical Learning for OCR Text Correction
Table 3: The number of detected errors and recall of bounded and unbounded detections
['Detection Category', 'Number', 'Recall']
An error may be “partially” detected if an overlapped but non-identical character sequence is treated as an error. We call this “partially” detected case as a success unbounded detection, where the correct recognition of the character sequence as success bounded detection. Unbounded detection can potentially be corrected, but it has inaccurate features scores that will influence the correction accuracy. For example, if an error < spend→sp end> is unbounded and detected as end, sp will exists in the context and candidate edit distance will be computed with end instead of sp end. In addition, there may exist multiple unbounded errors detected for one ground truth error, because of the splitting mistakes. For every ground truth error, we count at most one successful unbounded detection.