DocumentCode
2304326
Title
Improving OCR accuracy through combination: a survey
Author
Handley, John C.
Author_Institution
Xerox Corp., Webster, NY, USA
Volume
5
fYear
1998
fDate
11-14 Oct 1998
Firstpage
4330
Abstract
Optical character recognition is perhaps the most studied application of pattern recognition. Recent work has increased accuracy in two ways. Combination of individual classifier outputs overcomes deficiencies of features and trainability of single classifiers. OCR systems take page images as input and output strings of recognized characters. Due to character segmentation errors, characters can be split or merged preventing output combination character-by-character. Merging of output strings is done using string alignment algorithms
Keywords
image classification; image segmentation; optical character recognition; OCR; character segmentation errors; individual classifier output combination; optical character recognition; page images; string alignment algorithms; Bagging; Boosting; Character recognition; Classification tree analysis; Image recognition; Image segmentation; Neural networks; Optical character recognition software; Pattern recognition; Voting;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location
San Diego, CA
ISSN
1062-922X
Print_ISBN
0-7803-4778-1
Type
conf
DOI
10.1109/ICSMC.1998.727527
Filename
727527
Link To Document