GLADDER: Combining Gesture and Geometric Sketch Recognition

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Summary

This paper proposes a recognition system which tries to utilize the advantage of two types of sketch recognition systems 1) Gesture based system 2) Geometric based system.

Gesture based depends upon how the user is supposed to draw the sketches and has a good accuracy rate and Geometric based systems allows the user to draw more naturally but its difficult to describe the shapes using their geometric sub-parts.

GLADDER tries to merge both the recognition system to produce a higher accuracy rate. In its implementation it modifies the rubine algorithm to use a quadratic classifier instead of a geometric classifier for gesture recognition. It uses the LADDER system for geometric recognition. A recognition assistant must decide which recognition system to use. It uses the Mahanabolis distance to reject or accept the input for a recognition algorithm. For Rubine the mahanabolis rejection is done on 24 and for LADDER primitives is done on the valur of 100. A mid value of 30 is set to decide which system to use.

If the value is below 30 rubine algorithm is used for recognition and if the value is above 30 LADDER system is used for recognition.

With all the inputs the Modified Rubine has accuracy of 61.9% and LADDER has 75.2% and after merging the GLADDER has the highest accuracy of 79.9%.

Discussion

This system shows how two systems can be merged to produce a system which is better than the two by utilizing the best in both.