A New Application of MACE Filter for Cancelable Fingerprint Recognition

Document Type : Original Article

Authors

1 Communications and Electronics Department Faculty of Electronic Engineering,Manoufia University: Menouf, Egypt

2 Electrical Engineering Department Faculty of Industrial Education,Suez University: Suez, Egypt

3 Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University: Menouf, Egypt

4 Dept. of Automatic Control, Faculty of Electronic Engineering, Menouf 32952, Menoufia University, Egypt

Abstract

Now a days there is a widespread use of biometric authentication system, biometric templates cannot be replaced if lost or compromised. To deal with the issue of the compromised biometric template, template protection schemes evolved to make it possible to replace the biometric template. Cancelable biometric is such a template protection scheme that replaces a biometric template when the stored template is stolen or lost. Fingerprints are a good choice as they are unique to a person. Fingerprint recognition is a complex pattern recognition problem. This paper proposes fingerprint verification based on correlation filters because of their properties like shift invariance, ability to accommodate in-class image variability and closed form expressions. The performance of a specific type of correlation filter called the minimum average correlation energy (MACE) filter

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References

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Menoufia Journal of Electronic Engineering Research
Volume 28, ICEEM2019-Special Issue
ICEEM2019-Special Issue: 1st International Conference on Electronic Eng., Faculty of Electronic Eng., Menouf, Egypt, 7-8 Dec.
2019
Pages 58-62

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