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Secure registration-free fingerprint authentication method and system based on local features
US8935535B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8935535-B2 |
| Application number | US-201113807077-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 12, 2011 |
| Priority date | May 12, 2011 |
| Publication date | Jan 13, 2015 |
| Grant date | Jan 13, 2015 |
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Abstract
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A secure registration-free fingerprint authentication method based on local structures comprising: extracting descriptor features and local structure features of fingerprint minutiae from an input fingerprint image; conducting quantization and feature selection with respect to the features of the fingerprint minutiae; and encrypting the selected features and then decrypting the encrypted features to obtain the fingerprint image. The method adopts local features for fingerprint authentication, thus avoiding the complex registration in encryption domain. The method lowers the risk of the fingerprint authentication being attacked and improves security.
First claim
Opening claim text (preview).
The invention claimed is: 1. A secure registration-free fingerprint authentication method based on local structures, comprising: extracting descriptor features and local structure features of fingerprint minutiae from an input fingerprint image; conducting quantization and feature selection with respect to the features of the fingerprint minutiae; encrypting the selected features and then decrypting the encrypted features to obtain the fingerprint image; wherein the encrypti…
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- G06V40/1371Primary
Physics · mapped topic
- G06F21/32Primary
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
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- What does patent US8935535B2 cover?
- A secure registration-free fingerprint authentication method based on local structures comprising: extracting descriptor features and local structure features of fingerprint minutiae from an input fingerprint image; conducting quantization and feature selection with respect to the features of the fingerprint minutiae; and encrypting the selected features and then decrypting the encrypted featur…
- Who is the assignee on this patent?
- Tian Jie, Yang Xin, Li Peng, and 1 more
- What technology area does this patent fall under?
- Primary CPC classification G06V40/1371. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Jan 13 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).