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Using handwriting as a form of communication with personal devices has recently attained notable popularity owing to the increasing use of touchscreen devices and the tendency to make human-computer interaction more natural. However, as current handwritten character recognition algorithms implement high resource-consuming operations, their use is limited to the development of complex and specific applications, which are not suitable for mobile devices. In fact, such recognition algorithms should consume a small amount of computer resources in order to be used as a common tool to decode data input. In this paper, we propose an algorithm with low resource consumption and high efficiency, which exploits the characteristics of personal mobile devices to recognize handwritten characters in real-time.