Sketched symbol recognition using Latent-Dynamic Conditional Random Fields and distance-based clustering
A two stage methodology for the recognition of sketched symbols is proposed. The approach combines a discriminative graphical model and a clustering algorithm. The LDCRF model is applied to the domain of sketched symbol recognition. A complete evaluation of the approach in the electric circuit domain is provided. The achieved performance is compared with that of a baseline system.
symbol recognition diagram understanding sketched diagrams discriminative models stroke clustering electric circuit diagrams