Abstract
To ensure reliable minutiae extraction is one of the most important issues in automatic fingerprint identification. Fingerprint enhancement is the most widely used technique to achieve such a goal. In this chapter, we describe (1) a spatial domain filtering enhancement algorithm and (2) a frequency decomposition enhancement algorithm. Both algorithms are able to adaptively improve the clarity of ridge and valley structures based on the local ridge orientation and ridge frequency. They also identify the unrecoverable corrupted regions in an input fingerprint image and mask them out, which is a very important property because such unrecoverable regions do appear in some of the corrupted fingerprint images and they are extremely harmful to minutiae extraction.
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Hong, L., Jain, A. (2004). Fingerprint Enhancement. In: Ratha, N., Bolle, R. (eds) Automatic Fingerprint Recognition Systems. Springer, New York, NY. https://doi.org/10.1007/0-387-21685-5_7
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DOI: https://doi.org/10.1007/0-387-21685-5_7
Publisher Name: Springer, New York, NY
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