Performance Comparison of Transform Techniques for Hand Gesture Recognition

Vaishali Sakpal, Dr. Tanuja K. Sarode


Human computer interaction is a major issue in research industry. In order to offer a way to enable untrained users to interact with computer more easily and efficiently gesture based interface has been paid more attention. This paper presents a new approach for hand gesture recognition. The approach consists of threemodules: a) Preprocessing of the image b) Feature extraction c)Pattern matching for gesture recognition. Feature extraction is based on feature vector of transformed image using Discrete Cosine Transform, Walsh Transform, Haar transformand Kekre’s transform. The various size of feature vector is generated such as 4X4, 8X8, 16X16, 32X32, and 64X64. Results found to be better compare to the existing systems.
Keywords- Hand gesture Recognition, pattern matching, feature vector, HCI, transform.

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