DocumentCode
289694
Title
Handwritten word recognition using statistics
Author
Caesar, T. ; Gloger, J.M. ; Kaltenmeier, A. ; Mandler, E.
Author_Institution
Res. Center, Daimler-Benz AG, Ulm, Germany
fYear
1994
fDate
12-13 Jul 1994
Firstpage
42491
Lastpage
42497
Abstract
In this paper, a system for the recognition of images of handwritten cursive words is presented. Since all the features of the described system are based on symbolic representation of the contour and skeleton, they can be computed very efficiently. The hidden Markov technique, already been used successfully for speech recognition, scores noteworthy results in handwriting recognition, too. In fact, the recognition results are better the larger the number of images contained in the training set. The system has been tested exhaustively with US city names as well as names of German cities
Keywords
character recognition; handwriting recognition; hidden Markov models; statistical analysis; city names; contour; handwritten cursive words; handwritten word recognition; hidden Markov technique; skeleton; statistics; symbolic representation;
fLanguage
English
Publisher
iet
Conference_Titel
Handwriting Analysis and Recognition: A European Perspective, IEE European Workshop on
Conference_Location
Brussels
Type
conf
Filename
383965
Link To Document