Abstract
As a novel approach of optical pattern recognition, joint fractional Fourier transform correlation provides sharper correlation peaks compared with conventional joint Fourier transform, and its cross- correlation distribution could be adjusted flexibly by changing the fractional orders, bring advantages in image recognition. In this paper, joint fractional Fourier transform correlation is used for fingerprint recognition, especially for the one-to-many matching recognition of fingerprints. The principle is analyzed, and simulations verify the validity.
| Original language | English |
|---|---|
| Pages (from-to) | 103-109 |
| Number of pages | 7 |
| Journal | International Journal of Digital Content Technology and its Applications |
| Volume | 6 |
| Issue number | 21 |
| DOIs | |
| Publication status | Published - 2012 |
Keywords
- Fingerprint recognition
- Joint fractional fourier transform correlator
- Optical information processing
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Xin, Y., Xu, L., Li, Q., & Bai, X. (2012). Fingerprint recognition based on joint fractional fourier transform correlator. International Journal of Digital Content Technology and its Applications, 6(21), 103-109. https://doi.org/10.4156/jdcta.vol6.issue21.12