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In this paper, we present a different approach for license plate recognition system which is a very popular subject in computer vision and pattern recognition fields. Generally, license plate recognition system is divided into three main parts: locating the license plate, character segmentation and character recognition. In locating the license plate phase which is the most important part of the license plate recognition system, we propose a new and original algorithm which uses the TR sign of the Turkish license plates after making horizontal scan for narrowing the search area. For segmenting the located license plate's characters, we apply morphological operations to the binary image. At last, in the character recognition phase, we aim to minimize the error rate by separating the letter and number neural networks.