Einzeltreffer — DigiBib

Various systems, methods, and programs embodied in computer-readable mediums are provided for fingerprint liveness detection. In one embodiment, a method for determining fingerprint liveness is provided that comprises receiving a plurality of image analysis data of a fingerprint image; condensing the plurality of image analysis data; and determining liveness of the fingerprint image based upon the condensed data.

Titel:	MULTI-RESOLUTIONAL TEXTURE ANALYSIS FINGERPRINT LIVENESS SYSTEMS AND METHODS
Autor/in / Beteiligte Person:	Schuckers, Stephanie ; Abhyankar, Aditya ; Hornak, Lawrence
Link:	View record in USPTO Patent Applications (Volltext)
Veröffentlichung:	2012
Medientyp:	Patent
Sonstiges:	Nachgewiesen in: USPTO Patent Applications Sprachen: English Document Number: 20120087553 Publication Date: April 12, 2012 Appl. No: 13/313444 Application Filed: December 07, 2011 Assignees: West Virginia University Research Corporation, WVU Office of Technology Transfer & WYU Business (Morgantown, WV, US) Claim: 1. A method for determining fingerprint liveness, comprising the steps of: receiving first and second images of a fingerprint, wherein the second image is obtained a predetermined time after the first image; detecting a singularity point; determining a time domain signal for the singularity point using data from the first and second images; decomposing the time domain signal using a wavelet packet transform; determining an entropy of the decomposed signals; sifting the decomposed signals; and determining liveness of the fingerprint images based upon the entropy of the sifted signals. Claim: 2. The method of claim 1, further comprising the steps of: detecting a plurality of singularity points; determining the number of singularity points in the plurality; and determining that the fingerprint images are not live based upon the number of singularity points and a predetermined threshold. Claim: 3. The method of claim 1, wherein the step of determining a singularity point further comprises the steps of: detecting a first singularity point of the first image, wherein the first singularity point is at a fixed pixel location; detecting a second singularity point of the second image, wherein the second singularity point is at the fixed pixel location; and matching the first singularity point to the second singularity point. Claim: 4. The method of claim 1, wherein the step of detecting a singularity point comprises performing wavelet analysis of fingerprint image pixels. Claim: 5. The method of claim 1, wherein the step of determining a time domain signal comprises B-spline interpolation of pixel data from the first and second images. Claim: 6. The method of claim 1, wherein the step of determining liveness of the fingerprint image comprises determining that the fingerprint images are live based upon the entropy of the sifted signals and a predetermined threshold. Claim: 7. A system, comprising: a processor circuit having a processor and a memory; a detection system stored in the memory and executable by the processor, the detection system comprising: logic that receives first and second images of a fingerprint, wherein the second image is obtained a predetermined time after the first image; logic that detects a singularity point; logic that determines a time domain signal for the singularity point using data from the first and second images; logic that decomposes the time domain signal using a wavelet packet transform; logic that determines an entropy of the decomposed signals; logic that sifts the decomposed signals; and logic that determines liveness of the fingerprint images based upon the entropy of the sifted signals. Claim: 8. The method of claim 7, wherein the logic that detects a singularity point further comprises: logic that detects a first singularity point of the first image, wherein the first singularity point is at a fixed pixel location; logic that detects a second singularity point of the second image, wherein the second singularity point is at the fixed pixel location; and logic that matches the first singularity point to the second singularity point. Claim: 9. The system of claim 7, wherein the detection system further comprises: logic that detects a plurality of singularity points; logic that determines the number of singularity points in the plurality; and logic that determines that the fingerprint images are not live based upon the number of singularity points and a predetermined threshold. Current U.S. Class: 382/124 Current International Class: 06

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MULTI-RESOLUTIONAL TEXTURE ANALYSIS FINGERPRINT LIVENESS SYSTEMS AND METHODS