OCR often performs poorly on degraded documents. One approach to improving performance is to determine a good filter
to improve the appearance of the document image before sending it to the OCR engine. Quality metrics have been
measured in document images to determine what type of filtering would most likely improve the OCR response for that
document image. In this paper those same quality metrics are measured for several word images degraded by known
parameters in a document degradation model. The correlation between the degradation model parameters and the quality
metrics is measured. High correlations do appear in many places that were expected. They are also absent in some
expected places and offer a comparison of quality metric definitions proposed by different authors.