Fusion of dimensionality reduction techniques for Fkp recognition with Gabor filter

Abstract

In universal, identification and authentication are done by smart cards, passwords which are gently broken by others. To conquer this event, biometrics has been induced as a only tool to cognize an individual person. The Biometric is a measure which comprises of distinctive natural characteristics that afford more authentication and safety than password, smart cards, etc. This literary has centered on the Finger Knuckle Print (FKP), and this paper proposes an innovative method to personal identification and identity authentication, using Gabor filter the fusion of PCA, LDA, MMDA algorithms with Euclidian distance measure. Moreover the fusion process helps to improve the recognition rate. For analyze the performance of the proposed method by utilization of Poly-U finger knuckle print database. The results of verification process are which shows efficiency and effectiveness of this proposed method.