Learning type intellectual fingerprint identification comparison method adjusted based on fingerprint data quantity

A fingerprint data and fingerprint recognition technology, applied in the fields of electrical digital data processing, character and pattern recognition, special data processing applications, etc., can solve the problems of inability to change back, inconvenience, slowness, etc., and achieve the effect of reducing comparison failures

Inactive Publication Date: 2008-07-30
ZHEJIANG JINZHIMA TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If it is not within the set value range, the comparison will fail
[0015] 3. The traditional fingerprint identification and comparison method only compares the application fingerprint with the fingerprint template database stored in the memory after data processing through the collector and program. If the comparison fails, the application fingerprint is required to be compared again. If the comparison is successful Then give the application fingerprint a certain program setting authorization, and the whole identification and comparison process ends here, so it has the disadvantages of:
[0018] 3) In the traditional fingerprint colle

Method used

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  • Learning type intellectual fingerprint identification comparison method adjusted based on fingerprint data quantity
  • Learning type intellectual fingerprint identification comparison method adjusted based on fingerprint data quantity

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0037]This embodiment describes a learning-type intelligent fingerprint identification and comparison method through the adjustment of the number of fingerprint data, which includes storing the original application fingerprint in the memory after data processing through the collector and program to form a fingerprint template database. When the application fingerprint is processed by the collector and the program, it is compared with the fingerprint template database stored in the memory. If the comparison fails, the application fingerprint is required to be compared again. If the comparison is successful, the application fingerprint is given certain program settings. Authorization, after the application fingerprint identification comparison is successful, the update and adjustment of the fingerprint template data will be automatically carried out. The automatic update and adjustment of the fingerprint template data is to enter the application fingerprint after the successful co...

Embodiment 2

[0046] This embodiment describes a learning-type intelligent fingerprint identification and comparison method through the adjustment of the number of fingerprint data, which includes storing the original application fingerprint in the memory after data processing through the collector and program to form a fingerprint template database. When the application fingerprint is processed by the collector and the program, it is compared with the fingerprint template database stored in the memory. If the comparison fails, the application fingerprint is required to be compared again. If the comparison is successful, the application fingerprint is given certain program settings. After the application fingerprint identification and comparison is successful, the successfully compared application fingerprint is added to the fingerprint template database, and the successfully compared application fingerprint is used as the comparison template data map of the application fingerprint in the fut...

Embodiment 3

[0048] A learning-type smart fingerprint identification and comparison method described in this embodiment through the adjustment of the number of fingerprint data may be to enter the application fingerprint after the comparison into the fingerprint template database, and not replace or replace one of the original fingerprint template databases. or multiple fingerprint data maps, but not as a comparison template data map for the application fingerprints in the future. It is also possible to not write the successfully compared application fingerprints into the original fingerprint database, and delete or not delete the data in the original fingerprint template database at the same time. When comparing successful fingerprints to replace (or not replace) the fingerprint data graph in the original fingerprint database, the replacement (or non-replacement) can be performed based on time, analysis and comparison results (or fingerprint characteristic value range) or other basis.

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PUM

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Abstract

The invention discloses a learning-type intelligent fingerprint identifying and matching method which is adjusted through the quantity of the fingerprint data, and the method comprises the steps that original application fingerprints are stored into a memory after being carried out with data processing through a collector and a program, so as to compose a fingerprint template database. The invention is characterized in that the fingerprint template data is automatically upgraded and adjusted after the application fingerprints are successfully identified and matched, and the automatic upgrading and adjusting of the fingerprint template data refers to the steps that the application fingerprints after being successfully matched are input into the fingerprint template database, and are compared with one fingerprint or a plurality of fingerprints which accord with a certain data range in the fingerprint template database for analyzing, so as to obtain a fingerprint template data map used for the application fingerprint matching in future. The invention changes the traditional fixed matching template fingerprint database into a learning-type intelligent and dynamic fingerprint template database, so as to reduce and solve the condition that the application fingerprints of a person are unsuccessfully matched with the fingerprint template database because the application fingerprints are changed, thereby greatly improving the practicability of the fingerprint technique.

Description

technical field [0001] The invention relates to a fingerprint identification method, in particular to a learning type intelligent fingerprint identification and comparison method through adjusting the quantity of fingerprint data. Background technique [0002] The current fingerprint collection and identification comparison method is to directly compare the application fingerprint with the fixed template fingerprint database. The fingerprint template database will not be automatically updated after the first reading, so when the application fingerprint of the human body changes. It is impossible to change or update the corresponding database according to the changed fingerprint, which will lead to the situation that the application fingerprint cannot be successfully compared with the template fingerprint database. Let us first introduce the traditional fingerprint collection, storage, comparison methods and their shortcomings as shown in Figure 1: [0003] 1. We analyze the...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06F17/30
Inventor 王立丰钱文杰应永久
Owner ZHEJIANG JINZHIMA TECH
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