Sketched symbol recognition with few examples using particle filtering

Tırkaz, Çağlar and Sezgin, T. Metin and Yanıkoğlu, Berrin (2011) Sketched symbol recognition with few examples using particle filtering. In: ACM International Symposium on Sketch-Based Interfaces and Modeling, Vancouver, CA

Full text not available from this repository.


Sketching is a natural form of user interface that is employed in a variety of areas, such as engineering drawings or classroom teaching. Recognition of hand drawn sketches is a challenging problem due to the variability in hand drawing, variability in the drawing order of strokes, and the similarity of sketch classes. In this work, we present a system that can classify hand drawn symbols using few examples. The quality of the alignment between two symbols is measured and used to asses the similarity between these symbols. We present recognition experiments using the COAD and the NicIcon databases with promising results.

Item Type:Papers in Conference Proceedings
ID Code:18799
Deposited By:Berrin Yanıkoğlu
Deposited On:24 Jan 2012 15:57
Last Modified:31 Jul 2019 10:11

Repository Staff Only: item control page