A simple shape-based approach to hand gesture recognition

It is possible to recognize and classify ten hand gestures based solely on their shapes. This paper discusses a simple recognition algorithm that uses three shape-based features of a hand to identify what gesture it is conveying. The overall algorithm has three main steps: segmentation, feature calculation, and classification. The algorithm takes an input image of a hand gesture and calculates three features of the image, two based on compactness, and one based on radial distance. The parameters found in the classification step were obtained empirically using 200 hand images. The algorithm was tested on another 200 hand images, and was able to successfully classify 182 images, or with an overall success rate of 91 percent.

[1]  Chengdong Wu,et al.  A novel interactive method of virtual reality system based on hand gesture recognition , 2009, 2009 Chinese Control and Decision Conference.

[2]  Ruidan Su,et al.  Real-time hand gesture recognition system based on Associative Processors , 2009, 2009 2nd IEEE International Conference on Computer Science and Information Technology.

[3]  Muhammad Abuzar Fahiem,et al.  Recognition and Translation of Hand Gestures to Urdu Alphabets Using a Geometrical Classification , 2009, 2009 Second International Conference in Visualisation.

[4]  A. Mitome,et al.  A recognition method of restricted hand shapes in still image and moving image as a man-machine interface , 2008, 2008 Conference on Human System Interactions.

[5]  Fan Chen,et al.  Hand Gesture Detection and Segmentation Based on Difference Background Image with Complex Background , 2008, 2008 International Conference on Embedded Software and Systems.

[6]  Bülent Sankur,et al.  Shape-based hand recognition , 2006, IEEE Transactions on Image Processing.

[7]  Prashan Premaratne,et al.  Consumer electronics control system based on hand gesture moment invariants , 2007 .

[8]  R. Ishii,et al.  A GUI support system for a sight handicapped person by using hand shape recognition , 2001, IECON'01. 27th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.37243).

[9]  Yen-Ting Chen,et al.  Developing a Multiple-angle Hand Gesture Recognition System for Human Machine Interactions , 2007, IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society.