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Fingerprint image extraction method

A fingerprint image and extraction method technology, applied in computing, character and pattern recognition, computer parts and other directions, can solve problems such as deformation, reduce the recognition accuracy of background fingerprint comparison algorithm, fingerprint image distortion, etc., to avoid deformation and proportion The effect of misalignment, accuracy improvement, accuracy improvement

Pending Publication Date: 2022-06-21
北京彼岸行舟国际教育科技有限公司
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AI Technical Summary

Problems solved by technology

[0005] The current fingerprint extraction methods require a lot of operations, and each link may cause distortion and deformation of the fingerprint image, thereby reducing the recognition accuracy of the background fingerprint comparison algorithm.

Method used

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  • Fingerprint image extraction method
  • Fingerprint image extraction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0036] Taking fingerprint shooting as an example, it is divided into two parts:

[0037] 1. Scale adjustment coefficient calibration;

[0038] 2. Fingerprint photo. The scale parameter setting procedure is not a work that must be done every time a fingerprint is taken. After the coefficient is set, the same fixed object can be used repeatedly under the condition that the shooting distance remains unchanged.

[0039]Use the shooting method of fixed height, such as the height of one punch, to take photos. During the shooting process, open the camera window, so that the user can preview the scale, and a viewfinder frame will be superimposed on the camera imaging screen. Adjust the mobile computing device so that one side of the viewfinder frame matches the The scales of the scale are parallel or overlapped, and at the same time, the image in the imaging screen is in focus, so that the scale is in a clear state in the imaging screen. Additional light sources can be used in the ...

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PUM

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Abstract

The invention discloses a fingerprint image acquisition method, and belongs to the technical field of fingerprint automatic identification. A fixed object such as the body part of an operator is used for fixing the shooting position and distance, deformation and proportion imbalance can be avoided, and the fixed object is used for providing the fixed height; the scale with standard scales is shot to obtain the proportionality coefficient of the adjusted image. Therefore, after the coefficient is obtained, the original proportion of the fingerprint image obtained by using the same shooting mode subsequently can be kept by using the coefficient. After the images are uploaded to a back-end fingerprint identification system, the images can be directly used for comparison and are accurately compared. According to the method, the mobile computing device is used for shooting the image, one or more processors can be used for automatically correcting the size of the image, and the corrected image is sent to a back-end platform capable of comparing biological characteristics such as fingerprints for calculation and comparison so as to find an optimal candidate or directly find an owner of the biological characteristics such as the fingerprints. Maintaining the original size or the original size means that under the condition of a given image resolution, the size represented by the shot object image is calculated to be consistent with the actual size of the shot object according to the point number of the image resolution of the shot object, which is generally represented by point / inch.

Description

technical field [0001] The invention relates to the technical field of automatic fingerprint identification, and more particularly, to a method for extracting fingerprint images. Keeping the original size means that under a given image resolution, the size of the object to be photographed is calculated to be consistent with the actual size of the object to be photographed according to the image resolution points of the object to be photographed. Background technique [0002] Fingerprint identification comparison is mainly divided into two categories: 1:1 comparison and 1:N comparison. In a 1:1 comparison, there is only one registered fingerprint on a device, and the user fingerprint of the device that is attempted to be used is matched with the registered fingerprint to verify whether the user is legitimate. A common example is the use of fingerprint verification to unlock a door lock or mobile phone. 1:N alignment involves searching a large database of hundreds of thousan...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V40/13G06V10/32
Inventor 翟晓峰
Owner 北京彼岸行舟国际教育科技有限公司