Sequential Dual Deep Learning with Shape and Texture Features for Sketch Recognition

Understand

Recognizing freehand sketches with high arbitrariness is greatly challenging.

• Most existing methods either ignore the geometric characteristics or treat sketches as handwritten characters with fixed structural ordering.
• Consequently, they can hardly yield high recognition performance even though sophisticated learning techniques are employed.
• In this paper, we propose a sequential deep learning strategy that combines both shape and texture features.