engleski

Using Walsh transform in minutiae classification process

Minutiae classification in fingerprint evaluating process is very important. Fingerprint image contains about 150 minutiae’ s. When we compare two fingerprint images we compare latent and non latent fingerprint, and we try to find 12 minutiae’ s placed in the same position on latent and non latent fingerprint images. After fingerprint image pre-processing we can perform classification or we can try to find minutiae. In this paper we describe the process of minutiae classification in order to perform the comparison. For that purpose we use Walsh functions and Walsh transforms.

Fingerprint; minutiae; Walsh transform

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