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Contactless palmprint verification system using 2-D gabor filter and principal component analysis
Joint Authors
Chandran, Saravanan
Verma, Satya
Source
The International Arab Journal of Information Technology
Issue
Vol. 16, Issue 1 (31 Jan. 2019)7 p.
Publisher
Publication Date
2019-01-31
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
The palmprint verification system is gaining popularity in the biometrics research area.
The palmprint provides many advantages over other biometric systems such as low cost acquisition device, high verification accuracy, fast feature extraction, stability, and unique characteristics.
In this research article a new palmprint verification model is proposed using Sobel Edge Detection, 2D Gabor Filter, and Principal Component Analysis (PCA).
The proposed new model is tested with the IIT Delhi palmprint database.
The experimental results of the proposed new model achieves 99.5% Total Success Rate and 0.5% Equal Error Rate.
The experimental result confirms that the proposed new model is more suitable compared to other existing biometric techniques
American Psychological Association (APA)
Chandran, Saravanan& Verma, Satya. 2019. Contactless palmprint verification system using 2-D gabor filter and principal component analysis. The International Arab Journal of Information Technology،Vol. 16, no. 1.
https://search.emarefa.net/detail/BIM-883574
Modern Language Association (MLA)
Chandran, Saravanan& Verma, Satya. Contactless palmprint verification system using 2-D gabor filter and principal component analysis. The International Arab Journal of Information Technology Vol. 16, no. 1 (Jan. 2019).
https://search.emarefa.net/detail/BIM-883574
American Medical Association (AMA)
Chandran, Saravanan& Verma, Satya. Contactless palmprint verification system using 2-D gabor filter and principal component analysis. The International Arab Journal of Information Technology. 2019. Vol. 16, no. 1.
https://search.emarefa.net/detail/BIM-883574
Data Type
Journal Articles
Language
English
Notes
Includes appendix.
Record ID
BIM-883574