Abstract
Performance evaluation for document image processing has a different emphasis than performance evaluation in other areas of image processing. Other areas of image processing can tolerate some error. Because it is so easily done nearly perfectly by humans, document image processing must also be done nearly perfectly. So the first aspect of performance evaluation for document image processing is to determine the domain in which the performance is nearly perfect. Outside this domain, the algorithm makes errors. Such instances of errors need to be examined and classified and categorized so that the weaknesses of the algorithm can be characterized.
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© 2000 Springer-Verlag Berlin Heidelberg
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Haralick, R.M. (2000). Performance Evaluation of Document Image Algorithms. In: Chhabra, A.K., Dori, D. (eds) Graphics Recognition Recent Advances. GREC 1999. Lecture Notes in Computer Science, vol 1941. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40953-X_28
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DOI: https://doi.org/10.1007/3-540-40953-X_28
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