GLADDER: Combining Gesture and Geometric Sketch Recognition

Paul Corey and Tracy Hammond

Summary

The authors introduce a sketch recognition algorithm that integrates a two recognizer, a modified Rubine recognizer, a feature-based linear classifier, and the LADDER recognizer, a geometric-based hierarchical classifier. The approach first uses the Rubine classifier on a stroke, and calculates the Mahalanobis distance to any Rubine class. If this distance is shorter than a threshold, the classification is used; otherwise, the stroke is passed to the LADDER classifier. Evaluation pointed to a slight improvement in the integrate approach in comparison with each classifier individually.

Discussion

Integrating two distinct approaches that are each suited for handling different types of sketches and strokes is an advantageous approach, as the results indicated. Future work could include investigating alternate hybrids using different classifiers, as well as, determining a method to obtain correlated confidence values between Rubine and LADDER to help better choose which classification to use.