Open AccessNovel Method of FKP Feature Extraction Using Mechanical Variable
Author(s) -
Sukhdev Singh,
Chander Kant
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j9463.0881019
Subject(s) - biometrics , computer science , pattern recognition (psychology) , artificial intelligence , feature extraction , matlab , matching (statistics) , feature (linguistics) , knuckle , authentication (law) , image (mathematics) , computer vision , mathematics , engineering , statistics , mechanical engineering , linguistics , philosophy , computer security , operating system
Feature extraction is one of the most essential phase in biometric authentication. It helps in extracting and measuring the biometric image as ideal as possible. These features sets can be used further for image matching, recognition or learning techniques in supervised algorithms. In the proposed work a novel features extraction method for finger knuckle print is explored with comparative analysis. The proposed scheme is based on different mechanical variables and its efficiency also proved by plotting different curves in Matlab R2009a.