Preprocessing algorithm research of touchless fingerprint feature extraction and matching

Abstract

Touchless fingerprint recognition with high acceptance, high security, hygiene advantages, is currently a hot research field of biometrics, but because of the different image principle of the non-contact fingerprint image and contact fingerprint image, the difference of the two fingerprint image is large. There are still a small number of fuzzy regions in the non-contact fingerprint image after pretreatment, and the traditional method of extracting the future from the detail points can lead to a serious decline in recognition accuracy because of false points. In this paper, the non-contact pretreatment in our laboratory is used according to the characteristics of the contactless fingerprint image, the LBP operator, LGC operator and their improve algorithms are used for image processing; the nearest neighbor classifier is used for feature matching. The experimental result shows that the contactless fingerprint feature extraction method proposed in this paper can obtain higher division fingerprint feature.