Alternatives to variable duration HMM in handwriting recognition
- 1 January 1998
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 20 (11) , 1275-1280
- https://doi.org/10.1109/34.730561
Abstract
A successful handwritten word recognition (HWR) system using Variable Duration Hidden Markov Model (VDHMM) and the PD-HMM strategy is easy to implement. The central theme of this paper is to show that if the duration statistics are computed, it could be utilized to implement an MD-HMM approach for better experimental results. This paper also describes a PD-HMM based HWR system where the duration statistics are not explicitly computed, but results are still comparable to VDHMM based HWR scheme [1].Keywords
This publication has 5 references indexed in Scilit:
- Variable duration hidden Markov model and morphological segmentation for handwritten word recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Handwritten word recognition using segmentation-free hidden Markov modeling and segmentation-based dynamic programming techniquesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1996
- Off-line cursive handwriting recognition using hidden markov modelsPattern Recognition, 1995
- Keyword spotting in poorly printed documents using pseudo 2-D hidden Markov modelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1994
- Hidden Markov models for character recognitionIEEE Transactions on Image Processing, 1992