Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/15488
DC Field | Value | |
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dc.title | Extracting information from point set for robust fingerprint authentication | |
dc.contributor.author | SHEN REN | |
dc.date.accessioned | 2010-04-08T10:54:04Z | |
dc.date.available | 2010-04-08T10:54:04Z | |
dc.date.issued | 2006-09-12 | |
dc.identifier.citation | SHEN REN (2006-09-12). Extracting information from point set for robust fingerprint authentication. ScholarBank@NUS Repository. | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/15488 | |
dc.description.abstract | In biometric identification, a fingerprint is typically represented as a set ofminutiae which are 2-D points. We are interested in ways of extractinginformation from such a point set template for robust authentication. Thisthesis consists of two parts. In the first part, we show that analysis of anexisting method, Fingerprint vault[6], is inadequate. As such, the securityof such method may be too weak in practice. More specifically, we proposean attacker who achieves 2192.7 times speedup compared with a brute-forceattacker whom they used to measure the security of fingerprint vault. In thesecond part, we propose a new method to extract information from 2-D pointset by using feature lines and PCA transformation. We name this scheme asapproximate message authentication code for 2-D point set to produce MAClike binary code for robust fingerprint authentication. Given such a 128-bitlength AMAC code, to successfully launch a pre-image attack requires morethan 2^81 trials. | |
dc.language.iso | en | |
dc.subject | fingerprint, secure sketch, robust, PCA | |
dc.type | Thesis | |
dc.contributor.department | COMPUTER SCIENCE | |
dc.contributor.supervisor | CHANG EE CHIEN | |
dc.description.degree | Master's | |
dc.description.degreeconferred | MASTER OF SCIENCE | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Master's Theses (Open) |
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thesis.pdf | 430.52 kB | Adobe PDF | OPEN | None | View/Download |
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