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Low resolution non-contact online palmprint matching method

A low-resolution, matching method technology, applied in matching and classification, acquiring/organizing fingerprints/palmprints, instruments, etc., can solve problems such as increasing computational complexity, losing palmprint features, and time-consuming

Active Publication Date: 2015-11-25
XIDIAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] 1. Since the PalmCode method uses a special direction to extract palmprint features, it loses palmprint features in other directions, thus limiting the improvement of its accuracy
[0008] 2. Although the FusionCode method obtains more comprehensive palmprint feature information by increasing the number of Gabor filter templates, the convolution operation is a relatively time-consuming operation, so it is sacrificed in order to extract more comprehensive palmprint feature information. Increased matching speed and increased computational complexity
[0009] 3. These two matching methods use real part and real part matching, imaginary part and imaginary part matching in the matching stage, and finally directly calculate the matching similarity score strategy, so the real part and imaginary part of the same region of interest are ignored The connection between partial coding results causes the loss of palmprint feature information and affects the improvement of matching accuracy.

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  • Low resolution non-contact online palmprint matching method

Examples

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Embodiment Construction

[0048] Combine the following figure 1 , the embodiment of the present invention and effect are described in detail:

[0049] refer to figure 1 , the implementation steps of this example are as follows:

[0050] Step 1, read in template palmprint image I 1 and the palmprint image I to be matched 2 .

[0051] The database used in this example is PolyU_Palmprint_Database, a low-resolution palmprint database of the Hong Kong Polytechnic University, from which a palmprint image is randomly read in as a template palmprint image I 1 , and then randomly read from the database different from I 1 Another palmprint image as the palmprint image I to be matched 2 .

[0052] Step 2, extract template palmprint image I 1 The region of interest R 1 and the palmprint image I to be matched 2 The region of interest R 2 .

[0053] There are many methods for extracting the region of interest in the palmprint image, such as the valley point detection method, the maximum inscribed circle ...

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Abstract

The present invention discloses a low resolution non-contact online palmprint matching method, which mainly resolves a problem in the prior art that an anisotropic Gabor filter has different sensitivities for different angles and that a matching speed is low when a plurality of angle values are obtained. The implementation steps are: 1. reading a to-be matched palmprint image; 2. extracting an interested region of the to-be matched palmprint image; 3. performing convolution on the interested region by using the anisotropic Gabor filter, and performing binary encoding on a convolution result; and 4. comparing a binary encode image corresponding to the interested region, and calculating a matching similarity score of the to-be matched palmprint image. According to the low resolution non-contact online palmprint matching method, under the condition of maintaining high robustness and low calculation complexity, low resolution palmprint matching accuracy is improved, and the method can be used in a low resolution non-contact palmprint recognition system.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and in particular relates to an online palmprint matching method, which can be used in a low-resolution non-contact palmprint recognition system. Background technique [0002] With the progress of society and the urgent needs of the current security situation, palmprint recognition, especially low-resolution non-contact online palmprint recognition technology, has become another research hotspot in biometric identification after fingerprints, iris, etc. Palmprint recognition has an effective Large area, rich detailed information, convenient collection, good user experience, high precision and other advantages that other biometric identification methods do not have, so it has received more and more attention. [0003] The code-based palmprint matching method is a relatively successful method in the low-resolution non-contact online palmprint matching method. This method has strong...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/1312G06V40/1347G06V40/1365
Inventor 庞辽军刘林赵伟强田捷
Owner XIDIAN UNIV