Handwritten word recognition using segmentation-free hidden Markov modeling and segmentation-based dynamic programming techniques
M.A. Mohamed, Paul Gader · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1996
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.