Sketch recognition using particle swarm algorithms

Authors:
Maha El Meseery;Mahmoud Fakhr El Din;Samia Mashali;Magda Fayek;Nevin Darwish
Affiliations:
Signals Processing Group, Computers and Systems Department, Electronic Research Institute, Cairo, Egypt;Signals Processing Group, Computers and Systems Department, Electronic Research Institute, Cairo, Egypt;Signals Processing Group, Computers and Systems Department, Electronic Research Institute, Cairo, Egypt;Computer Engineering Department, Faculty of Engineering, Cairo University, Cairo, Egypt;Computer Engineering Department, Faculty of Engineering, Cairo University, Cairo, Egypt
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

Sketch recognition is defined as the process of identifying symbols that users draw using single or multiple strokes. Users draw strokes using a pen and the system immediately interprets their strokes as objects that can be easily manipulated. This paper uses Particle Swarm Optimization Algorithm (PSO) to divide the strokes the user draws into meaningful geometric primitives. These geometric primitives are grouped to formulate symbols which are further identified. The results show that using PSO improves segmentation results which guide the symbol recognition phase. This paper uses Support Vector Machines (SVM) classifier which further improves the final recognition accuracy.