Proceeding of The 1st International Conference on Computer Science and Engineering 2014|69 Hand Gesture Recognition as Password to Open The Door With Camera and Convexity Defect Method Rossi Passarella 1 , Muhammad Fadli 2 , Sutarno 3 Faculty Computer Science Department Computer Engineer, Sriwijaya University Jalan Raya Palembang-Prabumulih KM.32 1 passarella.rossi@gmail.com 2 fadli.gopad@gmail.com 3 tarnoabufaruq@yahoo.com Abstract—Computer Vision is one of reasearch that gets a lot of attention with many applications. One of the application is the hand gesture recognition system. By using EmguCV, will be obtained camera images from webcam camera. The Pictures will be disegmented by using skin detection method for decrease noises in order to obtain the information needed. The final project of this system is to implement the convexity defect method for extracting images and recognize patterns of hand gesture that represent the characters A, B, C, D, and E. The parameters used in pattern recognition of hand gesture is the number and length of the line connecting the hull and defects derived from the pattern of hand gesture. Keywords—EmguCV, image processing, skin detection, convexity defect, hand gesture recognition. I. INTRODUCTION Security is a condition where humans or animals feel avoid the danger that threatens or disturbing, furthermore, will pose a feeling of calm and comfortable. Security can be obtained in several ways, one of them is by applying technology. Application of technology security now have a very advanced ranging from conventional method to high-tech. In terms of security, it requires a key method for validation. Keys will later be referred to a password. A password is codes to open or access a system.In practice there is a lot of passwords used, one who uses a figure letters, fingerprints, face, some even used the retina of the eye as password. In this study will be made a system that uses motion of hands as the password. Motion of hands commonly used in daily life to communicate, as in greeting someone or as an auxiliary apparatus to communicate with a person who experienced deficient in verbal language [1].Often occurring in communicating motion of hands can help clarify remarks someone, besides motion of hands can also presented a letter[2, 3]. Motion of hands are understandable by human who have studied it. To convict hand movement, it was required good eyesight, at that time the hand gestures be stored in memory and adapted to data stored in the brain then it will process results as an action. With this thought many researchers used camera as a substitute for the human eye, while the brain using microprocessor. The use of camera as censors usually relating to the field of computer vision such as used in the application of robotics, and control [4, 5, 6]. The application of computer vision said succeed if the system using a right methods ofimage processing. Many techniques used in image processing, one of them is convexity defection. Convexity defection is a technique in which the image digitally can recognize an object [7,8,9]. II. METHODS A. Obtain A Digital Image At this stage, we will get RGB image realtime from the camera. The program will be built by using C# with Visual Studio 2013 compiler and supported by libraries emguCV. The Image Realtime captured by default which the resolution size is 640 x 480 pixels. In general, the camera has a resolution size is 640 x 480 pixels. However, there are some high end camera capable of capturing a larger resolution. in this system will be used a camera that has a resolution size is 640 x 480 pixels. As shown Figure 1. For cameras and computers that are used can be seen in figure 2 and figure 3. Fig.1 Example of Digital Image brought to you by CORE View metadata, citation and similar papers at core.ac.uk provided by Repository Proceeding Seminar (Fakultas Ilmu Komputer, Universitas Sriwijaya)