NDLI: Robust technique for fingerprint template protection

Content Provider	IET Digital Library
Author	Ali, Syed Sadaf Ganapathi, Iyyakutti Iyappan Prakash, Surya
Abstract	Fingerprint authentication systems generally save data extracted from fingerprint as minutiae template in the database. However, it is often found that databases can be attacked and compromised by the adversary. So if minutiae points of a user are leaked, the fingerprint can be generated from them. The fingerprint cannot be changed as the finger is a part of the human body. Hence, securing information extracted from the fingerprint is required. In this study, the authors propose a highly secure technique that uses location information of the minutia points to construct a highly secured template for a user. For every minutia point, secured modified location is generated by using information of its neighbouring minutiae and a key-set. They have achieved 2, 1, and 3.1% equal error rate values for FVC2002 DB1, DB2, and DB3 fingerprint databases, respectively, under the same key scenario. Analysis done for several attacks shows that the proposed technique is very robust and secure. The experimental results are extremely encouraging and they demonstrate the efficiency of the proposed technique.
Starting Page	536
Ending Page	549
Page Count	14
ISSN	20474938
Volume Number	7
e-ISSN	20474946
Issue Number	Issue 6, Nov (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/7/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2018.5070
Journal	IET Biometrics
Publisher Date	2018-09-05
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Data Security Equal Error Rate Value Fingerprint Authentication System Fingerprint Identification Fingerprint Template Protection FVC2002 DB1 Fingerprint Database FVC2002 DB2 Fingerprint Database FVC2002 DB3 Fingerprint Database Highly Secured Template Image Recognition Location Information Minutiae Point Secured Modified Location Visual Database
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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