Using a Geometric-Based Sketch Recognition Approach to Sketch Chinese Radicals

Author: Paul Taele, Tracy Hammond

Comments:

Summary:
This paper gives a description of chinese radical recognition built using LADDER and sezgin primitive recognizer. The image recognition and neural network methods have several drawbacks like need for large training data, inability to store the order of the strokes. LADDER achieves a lesser accuracy in recognition but consumes less time in building and using the system.

Discussion:
Interesting things found in this paper is the significance of the geometric features in identifying the chinese radicals.