engleski

Fingerprints preprocessing using walsh functions

Minutiae classification and fingerprint classification in fingerprint evaluating process are very important. Fingerprint image contains about 150 minutiae’ s. When we compares two fingerprint images we compare latent and non latent fingerprint, and we try to find 12 minutiae’ s on the same position on latent and non latent fingerprint images. After fingerprint image pre-processing we can do classification or we can try to find minutiae. In this paper we describe process of minutiae classification for comparison process. For that purpose we use Walsh function and Walsh transforms. Paper described minutiae classification which is relatively new in recognition systems and gives contribution in development practical fingerprint recognition systems. Paper also gives contribution in theoretical part with implementation Walsh function in fingerprint pre-processing systems which haven’ t be used for that purpose. New symbolic database model for fingerprint storage gives multifunctional foundation for future research.

Fingerprint; minutiae; walsh transform; classification

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