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US6763127B1
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Apparatus and method for fingerprint recognition system
Assignee: Kioba Processing LLC
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Filing: 2000-10-06
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Granted: 2004-07-13
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Expires: 2020-10-06
Abstract
Abstract A fingerprint recognition method includes iterative gamma correction that compensates moisture effect, feature extraction operations, directional morphological filtering that effectively links broken ridges and breaks smeared ridges, adaptive image alignment by local minutia matching, global matching by relaxed rigid transform, and statistical matching with Gaussian weighting functions.
Inventors
- 👤 Shang-Hung Lin
- 👤 Hung-Min Jen
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-09 23:09
CPC Classifications
G; G06; G06V; G06V40/00; G06V40/10; G06V40/12; G06V40/1347; G06V40/1365
Claims Analysis
Total Claims: 13
Claim 1
Independent Claim
106 words
A method for creating a digital reproduction of a fingerprint image, wherein the fingerprint image is a grayscale image, the method comprising the steps: applying a plurality of directional filters to said image to generate a directional code map; applying at least one morphological filter to reconstruct broken elements of said image; applying iterative gamma correction to the fingerprint image pixels, said pixels recursively map to the gamma tables until the average intensity of the image value falls within a predefined region; averaging pixel intensity for an 8×8 bit block and assigning a binary value to the pixel; applying thinning; minutia detection; and deleting false minutia.
Claim 2
Independent Claim
106 words
A method for creating a digital reproduction of a fingerprint image, wherein the fingerprint image is a grayscale image, the method comprising the steps: applying a plurality of directional filters to said image to generate a directional code map; applying at least one morphological filter to reconstruct broken elements of said image; applying iterative gamma correction to the fingerprint image pixels, said pixels recursively map to the gamma tables until the average intensity of the image value falls within a predefined region; averaging pixel intensity for an 8×8 bit block and assigning a binary value to the pixel; applying thinning; minutia detection; and deleting false minutia.
Claim 3
Dependent Claim
12 words
The method according to claim 1 wherein the gamma correction is 1.2.
Claim 4
Dependent Claim
12 words
A method according to claim 1 wherein the gamma correction is 0.8.
Claim 5
Dependent Claim
15 words
A method according to claim 1 wherein eight sets of 16×1 directional filters are used.
Claim 6
Independent Claim
63 words
A method for matching a fingerprint to a known fingerprint from a fingerprint file, the method comprising the steps: selecting similar minutia points in two fingerprint images by applying adaptive image alignment based on point type and similarity of neighboring points to generate a matching checkboard for minutia pairs; and applying a relaxed rigid transform to said minutia pairs from said matching checkboard.
Claim 7
Independent Claim
63 words
A method for matching a fingerprint to a known fingerprint from a fingerprint file, the method comprising the steps: selecting similar minutia points in two fingerprint images by applying adaptive image alignment based on point type and similarity of neighboring points to generate a matching checkboard for minutia pairs; and applying a relaxed rigid transform to said minutia pairs from said matching checkboard.
Claim 8
Dependent Claim
64 words
The method according to claim 5 further comprising the steps of: assigning a gaussian-based score generation to said minutia pairs; matching ridge flows from said minutia pairs using said relaxed rigid transform; repeating said steps of selecting similar minutia points, applying relaxed rigid transform, assigning a gaussian-based score and matching ridge flows, at least until no minutia pairs remain; and combining said gaussian-based scores.
Claim 9
Dependent Claim
14 words
The method according to claim 6 wherein the combining of gaussian-based scores are averaged.
Claim 10
Dependent Claim
17 words
The method according to claim 6 wherein the combining of gaussian-based scores are combined by weighted sum.
Claim 11
Dependent Claim
16 words
The method according to claim 6 wherein the combining of gaussian-based scores are combined by softmax.
Claim 12
Dependent Claim
18 words
The method according to claim 6 wherein the combining of gaussian-based scores are combined by fuzzy decision fusion.
Claim 13
Dependent Claim
22 words
The method according to claim 6 further comprising the step: matching the gaussian-based score of the fingerprint image with a known fingerprint.
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USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 2007-07-13 | 2008-01-12 | 2008-07-13 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2011-07-13 | 2012-01-12 | 2012-07-13 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2015-07-13 | 2016-01-12 | 2016-07-13 | $7700.00 | Window Closed / Lapsed |