DocumentCode
289693
Title
Cursive script recognition using semi continuous hidden Markov models in combination with simple features
Author
Bippus, Rolf ; Lehning, Michael
Author_Institution
Inst. fur Nachrichtentech., Tech. Univ. Braunschweig, Germany
fYear
1994
fDate
12-13 Jul 1994
Firstpage
42522
Lastpage
42527
Abstract
An approach is presented to use left-to-right Hidden Markov Models adopted from speech recognition for recognition of cursive script. A sequence of feature vectors is obtained from the script line deliberately doing without preprocessing to reduce writer variability. The goal is to investigate wether or not it is possible to statistically model cursive script with HMMs for recognition based on such features
Keywords
feature extraction; handwriting recognition; hidden Markov models; speech recognition; cursive script recognition; semi continuous hidden Markov models; simple features; speech recognition;
fLanguage
English
Publisher
iet
Conference_Titel
Handwriting Analysis and Recognition: A European Perspective, IEE European Workshop on
Conference_Location
Brussels
Type
conf
Filename
383964
Link To Document