A new method for fingerprint matching using phase-only auto- and cross-bispectrum

Alaoui, E. M. Ismaili; Ibn-Elhaj, Elhassane

doi:10.1007/s11760-016-0930-5

“…While both the FVC2002 DB1 and FVC2004 DB3 databases contain 100 different fingers with 8 impressions (samples) per finger resulting in 800 images, the FVC2006 DB2 database consists of 140 fingers with 12 impressions per finger in depth (total 1680 fingerprint). In the following, we denote with DSP-PS the method introduced here, with POACBbased approach proposed in our previous work [37] and with POC-based approach described in [9]. The matching performance of a fingerprint recognition method is evaluated by means of several measures.…”

Section: Resultsmentioning

confidence: 99%

Robust ﬁngerprint recognition approach based on diagonal slice of polyspectra in the polar space

Alaoui

2024

ELCVIA

0

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Although fingerprint recognition is a mature technology and nowadays commercial state-of-the-art systems can be successfully used in a number of real applications, not all the problems have been solved and the research is still very active in the field. This paper presents a new approach for estimating the shift and rotation parameters between fingerprint images stored in the dadabase that operates in the third-order frequency-domain measure called the auto-bispectrum, which, allows us to estimate the shift and the rotation separately. The diagonal slices and their spectra of auto- and cross-bispectrum are proposed. The rotation parameters are estimated from the remaining polar sampled the third-order spectrum using cross-correlation, and then, after compensating for rotation, we may easily estimate the translational component, e.g., by using phase correlation.Experimental evidence of this performance is presented, and the mathematical reasons behind these characteristics are explained in depth. We compare our approach in a simulation to other frequency-domain fingerprint recognition algorithms. We find that our algorithm can better estimate shift and rotation parameters than the other methods.

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“…In the following, we denote with DSP-PS the method introduced here, with POACB-based approach proposed in our previous work [35] and with POC-based approach described in [7].…”

Section: Resultsmentioning

confidence: 99%

Robust fingerprint recognition approach based on diagonal slice of polyspectra in the polar space

Alaoui

¹

2023

Preprint

0

View full text Add to dashboard Cite

Although fingerprint recognition is a mature technology and nowadays commercial state-of-the-art systems can be successfully used in a number of real applications, not all the problems have been solved and the research is still very active in the field. This paper presents a new approach for estimating the shift and rotation parameters between fingerprint images stored in the dadabase that operates in the third-order frequency-domain measure called the auto-bispectrum, which, allows us to estimate the shift and the rotation separately. The diagonal slices and their spectra of auto- and cross-bispectrum are proposed. The rotation parameters are estimated from the remaining polar sampled the third-order spectrum using cross-correlation, and then, after compensating for rotation, we may easily estimate the translational component, e.g., by using phase correlation.Experimental evidence of this performance is presented, and the mathematical reasons behind these characteristics are explained in depth. We compare our approach in a simulation to other frequency-domain fingerprint recognition algorithms. We find that our algorithm can better estimate shift and rotation parameters than the other methods.

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Extreme compression of fingerprint image databases using the model-based transform

Mansouri

¹

,

Pourreza

²

2017

SIViP

2

0

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A new method for fingerprint matching using phase-only auto- and cross-bispectrum

Cited by 5 publications

References 19 publications

Robust ﬁngerprint recognition approach based on diagonal slice of polyspectra in the polar space

Robust ﬁngerprint recognition approach based on diagonal slice of polyspectra in the polar space

Robust fingerprint recognition approach based on diagonal slice of polyspectra in the polar space

Extreme compression of fingerprint image databases using the model-based transform

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