Fingerprint matching from minutiae texture maps

Authors:
F. Benhammadi;M. N. Amirouche;H. Hentous;K. Bey Beghdad;M. Aissani
Affiliations:
Laboratory of Computer Science, M. P. School BP, 17, Bordj-El-Bahri 16111 Algiers, Algeria;Laboratory of Computer Science, M. P. School BP, 17, Bordj-El-Bahri 16111 Algiers, Algeria;Laboratory of Computer Science, M. P. School BP, 17, Bordj-El-Bahri 16111 Algiers, Algeria;Laboratory of Computer Science, M. P. School BP, 17, Bordj-El-Bahri 16111 Algiers, Algeria;Laboratory of Computer Science, M. P. School BP, 17, Bordj-El-Bahri 16111 Algiers, Algeria
Venue:
Pattern Recognition
Year:
2007

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Abstract

The fingerprint matching using the original FingerCode generation has proved its effectiveness but it suffers from some limitations such as the reference point localization and the recourse to the relative fingerprint pre-alignment stage. In this paper, we propose a new hybrid fingerprint matching technique based on minutiae texture maps according to their orientations. Therefore, rather than exploiting the eight fixed directions of Gabor filters for all original fingerprint images filtering process, we construct absolute images starting from the minutiae localizations and orientations to generate our weighting oriented Minutiae Codes. The extracted features are invariant to translation and rotation, which allows us avoiding the fingerprint pair relative alignment stage. Results are presented demonstrating significant improvements in fingerprint matching accuracy through public fingerprint databases.