Mean-discrete algorithm for individuality representation
Author
Source
al-Qadisiyah Journal for Computer Science and Mathematics
Issue
Vol. 13, Issue 1 (31 Mar. 2021), pp.1-10, 10 p.
Publisher
University of al-Qadisiyah College of computer Science and Information Technology
Publication Date
2021-03-31
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
A biometric is one of the common types of pattern recognition, which acquires biometric data from a person.
From these data, a feature is established and extracted where these features can be used to identify individual.
Exiting works in biometric Identification concentrate on unimodal biometric identification.
As such, using features that are uniquely belonging to a person would decrease fraud possibility.
Hence, owing to their great accurateness, multimodal biometric systems have become more favored compared with unimodal biometric systems in identification.
However, these systems are highly complex.
We proposed Mean-Discrete feature-based fusion algorithm for person detection.
Its viability and advantage over the unimodal biometric systems are highlighted.
American Psychological Association (APA)
Muhammad, Bayan Umar. 2021. Mean-discrete algorithm for individuality representation. al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 13, no. 1, pp.1-10.
https://search.emarefa.net/detail/BIM-1266372
Modern Language Association (MLA)
Muhammad, Bayan Umar. Mean-discrete algorithm for individuality representation. al-Qadisiyah Journal for Computer Science and Mathematics Vol. 13, no. 1 (2021), pp.1-10.
https://search.emarefa.net/detail/BIM-1266372
American Medical Association (AMA)
Muhammad, Bayan Umar. Mean-discrete algorithm for individuality representation. al-Qadisiyah Journal for Computer Science and Mathematics. 2021. Vol. 13, no. 1, pp.1-10.
https://search.emarefa.net/detail/BIM-1266372
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 10
Record ID
BIM-1266372