Fingerprints, a kind of reliable and accessible biological characteristic for individual identification, are commonly used on many occasions such as the mobile phone unlocking and criminal investigation. In this paper, a method based on fuzzy enhancement is proposed to segment fluorescence images of invisible fingerprints which are induced by ultraviolet laser on porous paper substrates. With the purpose of achieving the segmentation of latent fingerprints, the fuzzy enhancement and morphological operators are employed to extract the minutia while the ridge structures and valley structures are ruined by intensive background noises. In combination with the directional image, the method proposed could effectively remove the noises and obtain clear visible minutia simultaneously. The effectiveness of the method proposed shows great promise for further analysis of latent fingerprints and even in criminal investigation.
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