HAND GESTURE IDENTIFICATION ON SAFETY BOX SECURITY SYSTEM USING FUZZY C-MEANS METHOD

Indika Pradana , kaka and Edi Satriyanto, edi and Eru Puspita, eru and Budi Nur Iman, budi (2011) HAND GESTURE IDENTIFICATION ON SAFETY BOX SECURITY SYSTEM USING FUZZY C-MEANS METHOD. EEPIS Final Project.

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Abstract

Security system technology has been growing so rapidly. Ranging from conventional to modern security systems such as biometric identification systems already poluler in our society. One more unique system and relatively new in the IT world is a system of hand signs of identification. This system has been used and developed for gaming purposes, but over time these systems will be increasingly popular to control other electronic equipment such as electronic safing box. The method used in this thesis is the Fuzzy C-Means. FCM data processing are integral to the projection of each pattern is determined and produced new centroids as the identity of the pattern. FCM processing using Matlab 7.1 software while the centroid proximity to count FCM results in a pattern that caught our webcam using euclidean distance. Testing the system using a Celeron 550 processor, 2.0 GHz and logitech webcam 5500. The system is able to work with accuracy rate of more than 88.67% in a room with sufficient light intensity. Maximum distance is achieved for the detection of skin color is 70 cm with an average speed of detection is 15.159 fps. Key words: skin detection, hand gesture, integral projections, fuzzy c- means, euclidean distance, matlab 7.1, VB 6.0.

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