Patent ID: 7203368
Filing Date: 2007-04-10
Classification: G06K

Abstract:
1. A pattern recognition method, comprising: forming a hierarchical statistical model using a hidden Markov model (HMM) and a coupled hidden Markov model (CHMM), the hierarchical statistical model supporting a parent layer having multiple supernodes and a child layer having multiple nodes associated with each supernode of the parent layer; wherein either the parent layer is formed of an HMM and the child layer is formed of a CHMM, or the parent layer is formed of a CHMM and the child layer is formed of an HMM; the hierarchical statistical model applied to two dimensional data, with the parent layer describing data in a first direction and the child layer describing data in a second direction orthogonal to the first direction; training the hierarchical statistical model using observation vectors extracted from a data set; obtaining an observation vector sequence from a pattern to be recognized; and identifying the pattern by finding a substantially optimal state sequence segmentation for the hierarchical statistical model.