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A mass fingerprint encoding and comparison method based on multi-feature fusion

A multi-feature fusion and feature vector technology, which is applied in the directions of acquiring/arranging fingerprints/palmprints, matching and classification, character and pattern recognition, etc., can solve the problems of heavy comparison workload, time-consuming comparison, and inadvisability. Achieve the effect of improving the efficiency of fingerprint comparison and reducing the scope of fingerprint comparison

Active Publication Date: 2019-03-19
BEIJING EASTERN GOLDEN FINGER TECH
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AI Technical Summary

Problems solved by technology

For massive fingerprints (such as hundreds of millions or even billions of fingerprints), on the one hand, when extracting fingerprint features, it is not possible to construct fingerprint features with the ability to accurately distinguish massive fingerprints only by using traditional minutiae features or line features; On the other hand, the idea of ​​comparing the fingerprints to be compared with all the registered fingerprints one by one is not advisable due to the huge workload of the comparison, and it will consume the comparison time in units of months

Method used

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  • A mass fingerprint encoding and comparison method based on multi-feature fusion
  • A mass fingerprint encoding and comparison method based on multi-feature fusion
  • A mass fingerprint encoding and comparison method based on multi-feature fusion

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Embodiment

[0023] Such as figure 1 As shown, the method includes the following steps:

[0024] Step S01: Input a large number of registered fingerprints and one fingerprint to be identified, and mark a unique ID code for all registered fingerprints. Construct feature matrix and minutiae point matrix respectively for fingerprints to be identified and all registered fingerprints;

[0025] Select a fingerprint from the fingerprints to be matched and all registered fingerprints in turn as the feature matrix of the current fingerprint construction. Assume that the current fingerprint has 100 minutiae points, for example, select the first minutiae point, its position and angle are α 1 =(30,40,45), trace the fingerprint ridge line along the first minutiae point, and trace back to the 10th minutiae point, its position and angle are α 10 =(200,50,135), connect the 1st and 10th points with a straight line, and calculate the straight-line distance between the two points to be 170. Draw a vertic...

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Abstract

The invention relates to a multi-feature fusion mass fingerprint feature encoding and comparison method, comprising: inputting mass registered fingerprints and a fingerprint to be identified, and marking a unique ID identification code for all the registered fingerprints. Construct the feature matrix and minutiae matrix of the fingerprints to be recognized and all registered fingerprints respectively; construct a fingerprint rapid screening tree. Register fingerprints with similar feature evaluation indicators at the leaf nodes of the screening tree to form a list of registered fingerprints of the same type; use the feature matrix of the fingerprints to be compared to retrieve registered fingerprints with similar feature evaluation indicators with the fingerprints to be compared in the fast screening tree List, count the occurrence frequency of each fingerprint ID identification code in the list, take out several fingerprints with the highest frequency to form a registered fingerprint suspect queue; compare the fingerprint detail point matrix of fingerprints to be compared one by one with the registered fingerprint detail points in the suspect queue The matrix is ​​compared, and finally the registration fingerprint with the highest similarity is compared as the comparison result of the method.

Description

technical field [0001] The invention provides a multi-feature fusion mass fingerprint encoding and comparison method, which belongs to the field of biological feature identification, and in particular relates to a fingerprint identification method. Background technique [0002] Compared with other biometric identification technologies, fingerprint automatic identification technology has excellent accuracy and high economic practicability. Fingerprint identification technology is divided into two processes: (1) fingerprint registration process. By reading the fingerprint image, the fingerprint area in the fingerprint image is found, and the features in the fingerprint area that can distinguish the fingerprints from each other are extracted. Save these feature data in the database and use it as the representative of this fingerprint to complete the fingerprint registration process; (2) feature comparison process. After extracting the features of the newly collected fingerpri...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/1365G06V40/50
Inventor 张威赵彤
Owner BEIJING EASTERN GOLDEN FINGER TECH
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