A lexicon-based, handwritten word recognition system combining segmentation-free and segmentation-based techniques is described. The segmentation-free technique constructs a continuous density hidden Markov model for each lexicon string. The segmentation-based technique uses dynamic programming to match word images and strings. The combination module uses differences in classifier capabilities to achieve significantly better performance
Published in:
Pattern Analysis and Machine Intelligence, IEEE Transactions on
(Volume:18
,
Issue:
5
)
Date of Publication: May 1996