Graphics Recognition. New Trends and Challenges

Abstract

Integrating approaches in a unified system for the online and offline data type are seldom found, although the similar recognition alogirhtms are used for the two data stream. A practical solution which is able to represent online and offline hand drawn graphic messages simultaneously is presented. Freehand-sketched graphics captured by a digitizing tablet (online) or digital camera (offline) is approximated using the quadratic Bezier curve representation. A recursive architecture performing a piecewise curve approximation is proposed to represent pen strokes. As a primary unified tool for the online/offline symbol recognition system, a stroke ordering method which simulating online data of offline data is developed. The experimental results show good curve fitting and stroke generation ability of the proposed method, which can be applicable for practical real-time symbol recognition applications. © 2013 Springer-Verlag.