Abstract
Biometric authentication systems are steadily becoming a solution to wide number of authentication and identity management problems. Unique parts of human body that can be recognized and used as a mean to identify a person include fingerprints, iris, lips, etc. Though fingerprint and facial recognition systems are most widely used and developed, most of the systems and methods are slow or require expensive technical equipment. In this article genetic algorithm based palm recognition method is proposed, which does not require special equipment and can be used in systems where fast detection is needed. Method is compared to other existing methods. Method description, test results and evaluation are provided. DOI: http://dx.doi.org/10.5755/j01.eee.19.2.3473
Highlights
Genetic algorithms are considered to be a part of evolutionary algorithms that are inspired by Darwinian evolution mechanisms
Biometrics is the science of establishing the identity of an individual based on the physical, chemical or behavioural attributes of the person
The relevance of biometrics in modern society has been reinforced by the need for largescale identity management systems whose functionality relies on the accurate determination of an individual’s identity in the context of several different applications [1]
Summary
Genetic algorithms are considered to be a part of evolutionary algorithms that are inspired by Darwinian evolution mechanisms.
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