Abstract
We adapt a novel AM-FM (amplitude-modulation, frequency-modulation) image representation to process latent fingerprint images. The AM-FM representation captures, in a very natural way, the global flow of fingerprint patterns. Discontinuities in this flow are easily detectable as potential fingerprint minutiae. We demonstrate application of an AM-FM-based system to actual latent fingerprints and make comparison to expert human analysis.
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Pattichis, M., Bovik, A. (2004). Latent Fingerprint Analysis Using an AM-FM Model. In: Ratha, N., Bolle, R. (eds) Automatic Fingerprint Recognition Systems. Springer, New York, NY. https://doi.org/10.1007/0-387-21685-5_16
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DOI: https://doi.org/10.1007/0-387-21685-5_16
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-95593-3
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