Ismaili Alaoui, E.M. and Ibn-Elhaj, E. (2016) A new method for fingerprint matching using phase-only auto- and cross-bispectrum. Signal, Image and Video Processing, 10 (7). pp. 1327-1333.

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Fingerprints are widely used in biometric techniques for automatic personal identification. In this work, we present a new correlation-based approach which uses the phase-only auto- and cross-bispectrum. This paper deals with the problem of aligning two fingerprints images under translation and rotation. The method described utilizes the shift invariance property of the auto-bispectrum to eliminate the effect of the translation component. Only the phase information is preserved from the auto-bispectrum in order to achieve better resilience against non-uniform illumination changes. The input fingerprint image that gives the highest correlation peak is selected as the rotation-normalized image. The theoretical basis for fingerprint matching by auto- and cross-bispectrum analysis is presented. To prove the feasibility of the proposed method, we compared it to a the method proposed by Ito et al. (IEICE Trans Fundam E87-A(3):682–691, 2004) implemented in a similar manner as our approach. The experiments executed on FVC 2004 have shown that the suggested algorithm is successful on the bad or poor quality fingerprint images. The algorithm is robust providing accurate results in most of the time. © 2016, Springer-Verlag London.

Item Type: Article
Uncontrolled Keywords: Algorithms; Biometrics; Image matching; Pattern matching; Pattern recognition, Amplitude spectra; Bispectrum; Cross bispectrum; Fingerprint matching; Fingerprint Recognition; Shift fingerprint, Palmprint recognition
Subjects: Computer Science
Divisions: SCIENTIFIC PRODUCTION > Computer Science
Depositing User: Administrateur Eprints Administrateur Eprints
Last Modified: 31 Jan 2020 15:46

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