This paper proposes a method to enhance text images for a system which extracts, recognizes and translates multi-lingual characters in scenery images captured by a digital camera.The proposed method magnifies text images in frequency domain.It restores high-frequency components, and reduces mosquito and block noises caused by JPEG(Joint Photographic Experts Group) compression.The obtained enhanced text images are binarized and then recognized by a commercial character recognition software.Experiments are performed for printed documents, sign boards and platescaptured by a digital camera.In our experiments, texts are manually extracted from images because our goal in this paper is image enhancement.Compared with traditional approaches, the recognition ratio for ourenhanced images by using a commercial character recognition softwareimproves.

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