Methods of automatic alignment of fingerprint in fuzzy vault: A review

Author

Sood, P. ; Kaur, Manpreet

Author_Institution

Dept. of Comput. Sci. & Eng., PEC Univ. of Technol., Chandigarh, India

fYear

2014

fDate

6-8 March 2014

Firstpage

1

Lastpage

4

Abstract

Security of cryptographic keys is an important issue in today´s unprotected world. Most reliable solution of this problem is state of art fuzzy vault which is an application of bio-cryptosystems. These systems use biometric trait for locking and unlocking the keys. During unlocking, it is necessary to do alignment of query biometric data with enrolled biometric data because of large variation in two samples of a biometric trait of a user taken over the short span of time. Complexity of alignment is increased due to absence of original fingerprint template during alignment. That´s why helper data or additional information is required for alignment. There are number of techniques developed for automatic alignment of fingerprints till now. This paper gives the review of most of those methods.

Keywords

computational complexity; cryptography; fingerprint identification; fuzzy set theory; query processing; alignment complexity; automatic fingerprint alignment; biocryptosystems; biometric trait; cryptographic keys; enrolled biometric data; fingerprint template; fuzzy vault; query biometric data; Authentication; Bioinformatics; Cryptography; Data mining; Fingerprint recognition; Histograms; Polynomials; alignment free; automatic alignment; fingerprint alignment; fuzzy vault; helper data; minutia orientation; minutia structure; reference points;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering and Computational Sciences (RAECS), 2014 Recent Advances in

Conference_Location

Chandigarh

Print_ISBN

978-1-4799-2290-1

Type

conf

DOI

10.1109/RAECS.2014.6799559

Filename

6799559