Image resolution recognition device, method for recognizing image resolution and image resolution recognition program
US-2015379326-A1 · Dec 31, 2015 · US
US9552509B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9552509-B2 |
| Application number | US-201414415581-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 22, 2014 |
| Priority date | May 20, 2014 |
| Publication date | Jan 24, 2017 |
| Grant date | Jan 24, 2017 |
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A method and a system for rectifying a distorted fingerprint are provided. The method includes following steps. A feature of a distorted fingerprint is extracted, a reference distorted fingerprint whose feature is matched with the feature of the distorted fingerprint is searched for in a reference distorted fingerprint database, a dense distortion field of the reference distorted fingerprint is obtained in the reference distorted fingerprint database and the distorted fingerprint is rectified to a normal one according to the dense distortion field of the reference distorted fingerprint.
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What is claimed is: 1. A method for rectifying a distorted fingerprint, comprising: extracting a feature of a distorted fingerprint; searching for a reference distorted fingerprint whose feature is matched with the feature of the distorted fingerprint in a reference distorted fingerprint database; and obtaining a dense distortion field of the found reference distorted fingerprint in the reference distorted fingerprint database, and rectifying the distorted fingerprint to a normal one according to the dense distortion field of the reference distorted fingerprint. 2. The method according to claim 1 , wherein the reference distorted fingerprint database is established by steps of: obtaining a plurality of reference normal fingerprints and reference distorted fingerprints corresponding to each other; obtaining a dense distortion field and a feature of each reference distorted fingerprint to generate the reference distorted fingerprint database. 3. The method according to claim 2 , wherein the plurality of reference distorted fingerprints are obtained via an actual collection or an artificial synthesis. 4. The method according to claim 1 , wherein the feature of the fingerprint comprises at least one of an orientation field and a period map of the fingerprint. 5. The method according to claim 1 , wherein searching for a reference distorted fingerprint whose feature is matched with the feature of the distorted fingerprint in a reference distorted fingerprint database comprises: comparing the feature of the distorted fingerprint with the feature of the each reference distorted fingerprint to obtain a plurality of feature similarities; ranking the plurality of feature similarities in descending order; and selecting N reference distorted fingerprints with the feature similarities ranked in front as candidates, wherein N is an integer number larger than or equal to one. 6. The method according to claim 5 , wherein if N is equal to one, the distorted fingerprint is rectified according to the dense distorted field of the selected one reference distorted fingerprint; if N is larger than 1, the distorted fingerprint is rectified according to N dense distorted fields of the N selected reference distorted fingerprints respectively, and N rectified results are obtained. 7. The method according to claim 5 , wherein the feature similarity is calculated via a formula: s = s 1 0 + s 2 0 m ( w 1 0 s 1 0 + w 2 0 s 2 0 ) + s 1 p + S 2 p m ( w 1 p s 1 p + w 2 p s 2 p ) where s represents the feature similarity between a reference distorted fingerprint and the distorted fingerprint; s 1 0 and s 2 0 represent a number of similar blocks of an orientation field above a center point and an orientation field below the center point respectively; w 1 0 and w 2 0 represent a weighted coefficient of s 1 0 and s 2 0 respectively; s 1 p and s 2 p represent a number of similar blocks of a period map above the center point and a period map below the center point respectively; w 1 p and w 2 p represent a weighted coefficient of s 1 p and s 2 p respectively; and m represents a total number of blocks in an overlapping area of the reference distorted fingerprint and the distorted fingerprint.
involving a deformation of the sample pattern or of the reference pattern; Elastic matching · CPC title
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
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