Encyclopedia of Biometrics

2009 Edition
| Editors: Stan Z. Li, Anil Jain

Forward-Backward Algorithm

Reference work entry
DOI: https://doi.org/10.1007/978-0-387-73003-5_591

The Forward–Backward algorithm is the conventional, recursive, efficient way to evaluate a Hidden Markov Model, that is, to compute the probability of an observation sequence given the model. This probability can be used to classify observation sequences in recognition applications.

 Hidden Markov Models

Copyright information

© Springer Science+Business Media, LLC 2009