Chaotic Neural Network for Biometric Pattern Recognition
Joint Authors
Gavrilova, Marina
Ahmadian, Kushan
Source
Advances in Artificial Intelligence
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-08-30
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Biometric pattern recognition emerged as one of the predominant research directions in modern security systems.
It plays a crucial role in authentication of both real-world and virtual reality entities to allow system to make an informed decision on granting access privileges or providing specialized services.
The major issues tackled by the researchers are arising from the ever-growing demands on precision and performance of security systems and at the same time increasing complexity of data and/or behavioral patterns to be recognized.
In this paper, we propose to deal with both issues by introducing the new approach to biometric pattern recognition, based on chaotic neural network (CNN).
The proposed method allows learning the complex data patterns easily while concentrating on the most important for correct authentication features and employs a unique method to train different classifiers based on each feature set.
The aggregation result depicts the final decision over the recognized identity.
In order to train accurate set of classifiers, the subspace clustering method has been used to overcome the problem of high dimensionality of the feature space.
The experimental results show the superior performance of the proposed method.
American Psychological Association (APA)
Ahmadian, Kushan& Gavrilova, Marina. 2012. Chaotic Neural Network for Biometric Pattern Recognition. Advances in Artificial Intelligence،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-447480
Modern Language Association (MLA)
Ahmadian, Kushan& Gavrilova, Marina. Chaotic Neural Network for Biometric Pattern Recognition. Advances in Artificial Intelligence No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-447480
American Medical Association (AMA)
Ahmadian, Kushan& Gavrilova, Marina. Chaotic Neural Network for Biometric Pattern Recognition. Advances in Artificial Intelligence. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-447480
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-447480