Thesis

Hand Gesture Recognition Using Morphological Processing

In today’s technology the gesture recognition become attractive subject for the purpose of communication. The manner of identifying gesture is known as gesture recognition in which the deaf people used as sign language for communicating. Also, it can provide direct interface of hand gestures to control a systems. This paper is presented a communication process between hand gestures and electrical switches for automation systems. The MATLAB image processing toolbox is applied as main software for this project. The hand gestures are detected based on morphological analysis to generate digital signal for controlling the relays. Thus, the process acts as a sensor to control the switches.

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