Title: Finger knuckle print authentication using Canny edge detection method
Authors: Jyoti Malik; Ratna Dahiya; Dhiraj Girdhar; G. Sainarayanan
Addresses: Electrical Engineering Department, National Institute of Technology, Kurukshetra, India ' Electrical Engineering Department, National Institute of Technology, Kurukshetra, India ' Computer Associates, Bangalore, India ' HCL Technologies Private Ltd., Chennai, India
Abstract: Finger Knuckle Print (FKP) is a recently introduced biometrics in the field of authentication. The texture and lines of FKP is unique and can be used for personal authentication. In this paper, Canny feature extraction method and sliding window matching method is applied on FKP. The proposed methods are applied on a database provided by the Hong Kong Polytechnic University (PolyU) FKP database consisting of 165 persons. The FKP biometrics can be used for low- or middle-level security purpose.
Keywords: finger knuckle print; FKP; biometrics; knuckle print authentication; Canny edge detection; sliding window; biometrics; personal authentication; feature extraction; security.
International Journal of Signal and Imaging Systems Engineering, 2016 Vol.9 No.6, pp.333 - 341
Accepted: 22 May 2014
Published online: 10 Nov 2016 *