Abstract. The license plate recognition usually used as part of system such as parking system. License plate detection considered as the most important step in the license plate recognition system. We propose methods that can be used to detect the vehicle plate on mobile phone. In this paper, we used Sliding Window, Histogram of Oriented Gradient (HOG), and Support Vector Machines (SVM) method to license plate detection so it will increase the detection level even though the image is not in a good quality. The image proceed by Sliding Window method in order to find plate position. Feature extraction in every window movement had been done by HOG and SVM method. Good result had shown in this research, which is 96% of accuracy.

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Software development has many methods which are divided into traditional and agile categories. Traditional methods are known as heavy, rigid methods and have a lot of documentation, while agile is known as a lightweight, fast and a little documentation method. But there is a traditional method that has the flexibility and speed like the agile method, namely the prototyping method. Several prototyping methods are often used in building an application. The research aims to choose the right prototyping method for building a smart village application. The smart village application can be categorized as an application that requires a lot of communication with the user, where the user is a village community who has a certain culture and has a variety of educational backgrounds. The results of this study are that prototyping methods that are suitable for building smart village applications are evolutionary prototyping.

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