Open AccessFeature Extraction of Iris and Palmprint Biometric System using Dwt
Author(s) -
Kishore Reddy,
A Lakshmi
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d9058.118419
Subject(s) - biometrics , iris recognition , palm print , iris (biosensor) , computer science , artificial intelligence , computer vision , feature (linguistics) , pattern recognition (psychology) , principal (computer security) , feature extraction , hand geometry , point (geometry) , key (lock) , mathematics , computer security , philosophy , linguistics , geometry
Much work is done on Iris Recognition, since few years. Many cases discussed about performance in view of image capturing and recognition. Daugman work is the most important related to iris biometric in early research. It is fair to say, it is base model for iris biometric. Almost the available iris systems are based on this work. A palm print is image of the palm area of a hand. It is either an image taken online or offline. It is one of the most familiar and promising biometric model for personal identity verification. It is tough task to differentiate lines and wrinkles without explicit definition. depends on the thickness and position of some key points we can define principal lines. In our work, we are taken the principal line magnitude is less than or equal to 1. we cannot consider broken lines. If it is the case broken point is treat as last point