DocumentCode :
923047
Title :
The Viterbi algorithm as an aid in text recognition (Corresp.)
Author :
Neuhoff, David L.
Volume :
21
Issue :
2
fYear :
1975
fDate :
3/1/1975 12:00:00 AM
Firstpage :
222
Lastpage :
226
Abstract :
The results of an experiment are described in which contextual information is used to improve the performance of an optical character reader when reading English text. Specifically, English is modeled as a Markov source and the Viterbi algorithm is used to do maximum 
sequence estimation on the output of an optical character reader (OCR).
sequence estimation on the output of an optical character reader (OCR).Keywords :
Character recognition; Sequence estimation; Viterbi decoding; maximum-likelihood (ML) estimation; Character recognition; Dictionaries; Frequency estimation; Humans; Maximum likelihood estimation; Natural languages; Optical character recognition software; Text recognition; Viterbi algorithm; Vocabulary;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1975.1055355
Filename :
1055355
Link To Document :
