DocumentCode
3314370
Title
Power functions and their use in selecting distance functions for document degradation model validation
Author
Kanungo, Tapas ; Haralick, Robert M. ; Baird, Henry S.
Author_Institution
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
Volume
2
fYear
1995
fDate
14-16 Aug 1995
Firstpage
734
Abstract
Two document degradation models that model the perturbations introduced during the document printing and scanning process were proposed recently. Although degradation models are very useful, it is very important that we validate these models by comparing the synthetically generated images against real images. In recent past, two different validation procedures have also been proposed to validate such document degradation models. These validation procedures are functions of sample size and various distance functions. In this paper we outline a statistical methodology to compare the various validation schemes that result by using different distance functions. This methodology is general enough to compare any two validation schemes
Keywords
document image processing; nonparametric statistics; optical character recognition; statistical analysis; document degradation; document degradation models; document printing; scanning; statistical methodology; validation procedures; Algorithm design and analysis; Degradation; Image generation; Optical character recognition software; Performance evaluation; Printing; Robustness; Statistical analysis; Statistics; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on
Conference_Location
Montreal, Que.
Print_ISBN
0-8186-7128-9
Type
conf
DOI
10.1109/ICDAR.1995.602007
Filename
602007
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