Automatically detecting and classifying noises in document images

Proceedings of the ACM Symposium on Applied Computing

Volumn , Issue , 2010, Pages 33-39

  Lins, Rafael Dueire ^a   Pereira E Silva, Gabriel ^a   Banergee, Serene ^b   Kuchibhotla, Anjaneyulu ^b   Thielo, Marcelo ^c  

^a FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

^b HEWLETT PACKARD LABORATORIES   (United States)

^c Hewlett Packard   (Brazil)

Author keywords

back to front interference; bleeding; borders; classification; documents; noise characterization; orientation; show through; skew

Indexed keywords

COMPUTATIONALLY EFFICIENT; DOCUMENT IMAGES; FILTERING PROCESS; IMAGE FILTERING; NOISE CHARACTERIZATION; NOISE FILTERS; REMOVE NOISE; TRAINING SAMPLE;

DIGITAL IMAGE STORAGE;

INFORMATION RETRIEVAL SYSTEMS;

EID: 77954714010     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1774088.1774096     Document Type: Conference Paper

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