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Method and system for splicing fingerprint blocks

A fingerprint and correlation technology, applied in the direction of acquiring/arranging fingerprints/palmprints, computing, character and pattern recognition, etc., can solve problems such as inaccurate fingerprint information, and achieve the effect of improving accuracy

Active Publication Date: 2022-04-01
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0005] This application provides a fingerprint block splicing method and system to solve the problem of inaccurate fingerprint information spliced ​​by the traditional fingerprint block splicing method

Method used

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  • Method and system for splicing fingerprint blocks
  • Method and system for splicing fingerprint blocks
  • Method and system for splicing fingerprint blocks

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Embodiment Construction

[0029] The application will be described in detail below in conjunction with the accompanying drawings.

[0030] like figure 1 As shown, it is a schematic flow chart of a fingerprint block splicing method provided by this application, see figure 1 , the method includes:

[0031] S101. Obtain minutiae points and ridge points in the fingerprint block.

[0032] The preprocessing process is the first step in the processing of fingerprint blocks, and is the basis for the subsequent correct extraction of fingerprint features. Due to the characteristics of the skin, the input device and the environment, the fingerprint block will have distortion, unclear, wet, noise and other factors that are unfavorable to feature extraction. Therefore, before feature extraction, the image should be preprocessed to eliminate the influence. The general preprocessing process includes image segmentation, image normalization, direction field, ridge frequency, Gabor filter, image binarization, and im...

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Abstract

The embodiment of the present application discloses a method and system for mosaicing fingerprint blocks, including: acquiring minutiae points and ridge points in the fingerprint block; performing preliminary alignment on the acquired fingerprint blocks according to the minutiae points and ridge points, and then improving the accuracy by global optimization. The accuracy of the position of each fingerprint block; the feature fusion of the aligned fingerprint blocks is performed to complete the splicing of the fingerprint blocks. In order to obtain accurate alignment of fingerprint blocks, in the partial fingerprint block alignment stage, this application follows the alignment process from rough to precise, and first uses a partial fingerprint matching algorithm to calculate the pairwise matching between fingerprint blocks to obtain the rough alignment of fingerprint blocks , and then use the global optimization method to improve the accuracy of fingerprint block alignment, and get the precise fingerprint block alignment result.

Description

technical field [0001] The present application relates to the technical field of fingerprint identification, in particular to a fingerprint block splicing method and system. Background technique [0002] Due to the uniqueness, easy acquisition and convenient identification of fingerprints, automatic fingerprint identification system (Automatic fingerprint identification system, AFIS) has been widely used in various fields. With the development of sensor technology, cheap and lightweight integrated solid-state fingerprint sensors have been widely used in various devices that require identity authentication. In order to facilitate embedding in devices and reduce costs, the sensing area of ​​the sensor is made very small. Since the contact area between this small solid-state sensor and the finger is very limited, the fingerprint obtained by this sensor is only a part of the entire fingerprint, resulting in very limited information that can be extracted from this partial finger...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V40/12G06V10/40
CPCG06V40/1359G06V40/12
Inventor 金长龙王宇萌孔祥雯
Owner SHANDONG UNIV
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