Multi-Modal Biometrics Fusion Based on Component Analysis and Stationery Wavelet Transform

Gabriel Babatunde Iwasokun; Kolawole Isaiah Opatoye; Babajide Oluwaseun Orunmuyi

Multi-Modal Biometrics Fusion Based on Component Analysis and Stationery Wavelet Transform

Abstract

It has been observed that the accuracy of multimodal biometric system is highly dependent on the adequacy of the applied fusion technique. Fusion at sample, template, matching and ranking levels have all proved reasonable contributions to the performance of the multi-modal systems. In this paper, a model that is based on the combination of Principal Component Analysis PCA and Stationary Wavelet Transform SWT is proposed for the fusion of biometric images. The model comprises image depuration, histogram balancing, pruning and homogenization as well as PCA-based feature extraction stages. The decomposition and fusion of the images using the extracted features were based on SWT. The experimental study of the model with standard face and ear images revealed its suitability for obtaining high quality fusion. The obtained Peak Signal to Noise Ratio PSNR , Mean Square Error MSE and Standard Deviation SD values established the superiority of the proposed model over some related ones

Keywords

Multimodal biometrics, face, ear, biometric fusion, filtering, PCA, SWT

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Details

Primary Language

English

Subjects

-

Journal Section

-

Authors

Gabriel Babatunde Iwasokun This is me

Kolawole Isaiah Opatoye This is me

Babajide Oluwaseun Orunmuyi This is me

Publication Date

June 1, 2020

Submission Date

-

Acceptance Date

-

Published in Issue

Year 2020 Volume: 9 Number: 2

IZ

https://izlik.org/JA63BB55HY

Cite

RIS / Bibtex

APA

Iwasokun, G. B., Opatoye, K. I., & Orunmuyi, B. O. (2020). Multi-Modal Biometrics Fusion Based on Component Analysis and Stationery Wavelet Transform. International Journal of Information Security Science, 9(2), 114-125. https://izlik.org/JA63BB55HY

AMA

1.Iwasokun GB, Opatoye KI, Orunmuyi BO. Multi-Modal Biometrics Fusion Based on Component Analysis and Stationery Wavelet Transform. IJISS. 2020;9(2):114-125. https://izlik.org/JA63BB55HY

Chicago

Iwasokun, Gabriel Babatunde, Kolawole Isaiah Opatoye, and Babajide Oluwaseun Orunmuyi. 2020. “Multi-Modal Biometrics Fusion Based on Component Analysis and Stationery Wavelet Transform”. International Journal of Information Security Science 9 (2): 114-25. https://izlik.org/JA63BB55HY.

EndNote

Iwasokun GB, Opatoye KI, Orunmuyi BO (June 1, 2020) Multi-Modal Biometrics Fusion Based on Component Analysis and Stationery Wavelet Transform. International Journal of Information Security Science 9 2 114–125.

IEEE

[1]G. B. Iwasokun, K. I. Opatoye, and B. O. Orunmuyi, “Multi-Modal Biometrics Fusion Based on Component Analysis and Stationery Wavelet Transform”, IJISS, vol. 9, no. 2, pp. 114–125, June 2020, [Online]. Available: https://izlik.org/JA63BB55HY

ISNAD

Iwasokun, Gabriel Babatunde - Opatoye, Kolawole Isaiah - Orunmuyi, Babajide Oluwaseun. “Multi-Modal Biometrics Fusion Based on Component Analysis and Stationery Wavelet Transform”. International Journal of Information Security Science 9/2 (June 1, 2020): 114-125. https://izlik.org/JA63BB55HY.

JAMA

1.Iwasokun GB, Opatoye KI, Orunmuyi BO. Multi-Modal Biometrics Fusion Based on Component Analysis and Stationery Wavelet Transform. IJISS. 2020;9:114–125.

MLA

Iwasokun, Gabriel Babatunde, et al. “Multi-Modal Biometrics Fusion Based on Component Analysis and Stationery Wavelet Transform”. International Journal of Information Security Science, vol. 9, no. 2, June 2020, pp. 114-25, https://izlik.org/JA63BB55HY.

Vancouver

1.Gabriel Babatunde Iwasokun, Kolawole Isaiah Opatoye, Babajide Oluwaseun Orunmuyi. Multi-Modal Biometrics Fusion Based on Component Analysis and Stationery Wavelet Transform. IJISS [Internet]. 2020 Jun. 1;9(2):114-25. Available from: https://izlik.org/JA63BB55HY