Fingerprint Individuality Model Based on Pattern Type and Singular Point Attributes

Gabriel Babatunde Iwasokun; Oluwatayo Samuel Ogunlana; Olatubosun Olabode

Fingerprint Individuality Model Based on Pattern Type and Singular Point Attributes

Abstract

This paper presents a singular point and pattern type model for the investigation of fingerprint individuality. The extraction of the singular point is based on the modified Poincare method while the determination of the pattern type is based on plane geometry and the attributes of the singular point on the quadrants. The experimental study of the platform was carried out on a Microsoft Windows 10 Professional platform on HP Pavilion Core i7 with 8.00GB RAM and 750 GB Hard Disk. Matlab version R2018a was the frontend while Microsoft Access Relational Database Management System served the backend. Benchmarked FVC2002 fingerprint database which comprises four datasets from different sources and of varied types served as experimental dataset. The experimental study established the viability and the functionality of the model while results for average matching time, false non match rate and false match rate confirmed that the model is practically feasible as well as its suitability for use in Automated Fingerprint Identification System AFIS .

Keywords

Fingerprint, singular point, pattern type, FVC2002, individuality

References

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Details

Primary Language

English

Subjects

-

Journal Section

-

Authors

Gabriel Babatunde Iwasokun This is me

Oluwatayo Samuel Ogunlana This is me

Olatubosun Olabode This is me

Publication Date

September 1, 2021

Submission Date

-

Acceptance Date

-

Published in Issue

Year 2021 Volume: 10 Number: 3

IZ

https://izlik.org/JA55DZ37LL

Cite

RIS / Bibtex

APA

Iwasokun, G. B., Ogunlana, O. S., & Olabode, O. (2021). Fingerprint Individuality Model Based on Pattern Type and Singular Point Attributes. International Journal of Information Security Science, 10(3), 75-85. https://izlik.org/JA55DZ37LL

AMA

1.Iwasokun GB, Ogunlana OS, Olabode O. Fingerprint Individuality Model Based on Pattern Type and Singular Point Attributes. IJISS. 2021;10(3):75-85. https://izlik.org/JA55DZ37LL

Chicago

Iwasokun, Gabriel Babatunde, Oluwatayo Samuel Ogunlana, and Olatubosun Olabode. 2021. “Fingerprint Individuality Model Based on Pattern Type and Singular Point Attributes”. International Journal of Information Security Science 10 (3): 75-85. https://izlik.org/JA55DZ37LL.

EndNote

Iwasokun GB, Ogunlana OS, Olabode O (September 1, 2021) Fingerprint Individuality Model Based on Pattern Type and Singular Point Attributes. International Journal of Information Security Science 10 3 75–85.

IEEE

[1]G. B. Iwasokun, O. S. Ogunlana, and O. Olabode, “Fingerprint Individuality Model Based on Pattern Type and Singular Point Attributes”, IJISS, vol. 10, no. 3, pp. 75–85, Sept. 2021, [Online]. Available: https://izlik.org/JA55DZ37LL

ISNAD

Iwasokun, Gabriel Babatunde - Ogunlana, Oluwatayo Samuel - Olabode, Olatubosun. “Fingerprint Individuality Model Based on Pattern Type and Singular Point Attributes”. International Journal of Information Security Science 10/3 (September 1, 2021): 75-85. https://izlik.org/JA55DZ37LL.

JAMA

1.Iwasokun GB, Ogunlana OS, Olabode O. Fingerprint Individuality Model Based on Pattern Type and Singular Point Attributes. IJISS. 2021;10:75–85.

MLA

Iwasokun, Gabriel Babatunde, et al. “Fingerprint Individuality Model Based on Pattern Type and Singular Point Attributes”. International Journal of Information Security Science, vol. 10, no. 3, Sept. 2021, pp. 75-85, https://izlik.org/JA55DZ37LL.

Vancouver

1.Gabriel Babatunde Iwasokun, Oluwatayo Samuel Ogunlana, Olatubosun Olabode. Fingerprint Individuality Model Based on Pattern Type and Singular Point Attributes. IJISS [Internet]. 2021 Sep. 1;10(3):75-8. Available from: https://izlik.org/JA55DZ37LL