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1	Performance evaluation : theory, practice, and impact
	Kanungo, Tapas (Hrsg.); Baird, Henry S. (Hrsg.); Haralick, Robert M. (Hrsg.)...
	In: International journal on document analysis and recognition. - Berlin ; Heidelberg : Springer 4 (2002) 3, 139-217
	BLLDB
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2	Attributed point matching for automatic groundtruth generation
	Kim, Doe-Wan; Kanungo, Tapas
	In: International journal on document analysis and recognition. - Berlin ; Heidelberg : Springer 5 (2002) 1, 47-66
	OLC Linguistik
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3	Software architecture of PSET: a page segmentation evaluation toolkit
	Mao, Song; Kanungo, Tapas
	In: International journal on document analysis and recognition. - Berlin ; Heidelberg : Springer 4 (2001) 3, 205
	OLC Linguistik
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4	Special Issue on "Performance Evaluation: Theory, Practice, and Impact"
	Kanungo, Tapas; Baird, Henry S.; Haralick, Robert M.
	In: International journal on document analysis and recognition. - Berlin ; Heidelberg : Springer 4 (2001) 3, 139
	OLC Linguistik
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5	Morphological Degradation Models and their Use in Document Image Restoration
	Zheng, Qigong; Kanungo, Tapas
	In: DTIC (2001)
	Abstract: Document images undergo various degradation processes. Numerous models of these degradation processes have been proposed in the literature. In this paper we propose a model-based restoration algorithm. The restoration algorithm first estimates the parameters of a degradation model and then uses the estimated parameters to construct a lookup table for restoring the degraded image. The estimated degradation model is used to estimate the probability of an ideal binary pattern, given the noisy observed pattern. This probability is estimated by degrading noise-free document images and then computing the frequency of corresponding noise-free and noisy pattern pairs. This conditional probability is then used to construct a lookup table to restore the noisy images. The impact of the restoration process is then quantified by computing the decrease in OCR word and character error rate. We find that given the estimated degradation model parameter values, the restoration algorithm decreases the character error rate by 16.1% and the word error rate by 7.35%. In some categories of degradation (e.g. model parameters that give rise to broken characters) there is a 41.5% reduction in character error rate and a 20.4% reduction in word error rate. ; Sponsored in part by NSF grant IIS9987944. Additional report CS-TR-4218
	Keyword: ALGORITHMS; DEGRADATION; IMAGE RESTORATION; MORPHOLOGY; *NUMERICAL ANALYSIS; CHARACTER RECOGNITION; DOCUMENTS; ERRORS; ESTIMATES; Linguistics; NOISE REDUCTION; Numerical Mathematics; Optics; PARAMETERS; PATTERNS; RATES; TABLES(DATA); WORDS(LANGUAGE)
	URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA458744 http://www.dtic.mil/docs/citations/ADA458744
	BASE
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6	A Downhill Simplex Algorithm for Estimating Morphological Degradation Model Parameters
	Kanungo, Tapas; Zheng, Qigong
	In: DTIC (2001)
	BASE
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7	The Architecture of TrueViz: A Groundtruth/Metadata Editing and Visualizing Toolkit
	Lee, Chang Ha; Kanungo, Tapas
	In: DTIC (2001)
	BASE
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8	Full-Text Access to Historical Newspapers
	Kanungo, Tapas; Allen, Robert B.
	In: DTIC (1999)
	BASE
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9	A Statistical, Nonparametric Methodology for Document Degradation Model Validation
	Kanungo, Tapas; Haralick, Robert; Baird, Henry...
	In: DTIC (1999)
	BASE
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10	The Bible, Truth, and Multilingual OCR Evaluation
	Kanungo, Tapas; Resnik, Philip
	In: DTIC (1998)
	BASE
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