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A Fast Segmentation Method of Online Palmprint Effective Area Based on Gradient Orientation Template

An effective area and gradient direction technology, applied in the field of identity verification, can solve the problems of slow implementation and affecting the effect of palm segmentation, and achieve the effect of increasing speed

Active Publication Date: 2017-06-16
XIDIAN UNIV
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  • Description
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Problems solved by technology

This method has a major problem: the posture of the palm will affect the effect of the effective area segmentation of the palm
The problem with this method is that each point on the contour requires complex geometric calculations, so it is relatively slow to implement

Method used

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  • A Fast Segmentation Method of Online Palmprint Effective Area Based on Gradient Orientation Template
  • A Fast Segmentation Method of Online Palmprint Effective Area Based on Gradient Orientation Template
  • A Fast Segmentation Method of Online Palmprint Effective Area Based on Gradient Orientation Template

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Embodiment Construction

[0041] Combine below figure 1 The technical content and effects of the present invention are further described in detail.

[0042] refer to figure 1 , the implementation steps of the present invention include as follows:

[0043] Step 1, input palmprint image I(x,y).

[0044] Get the palmprint image I(x, y) whose size is M×L from the image database, where (x, y) represents the pixel coordinates of the palmprint image, M represents the length of the palmprint image, and L represents the length of the palmprint image width.

[0045]Step 2, obtain the palm contour image Edg(x,y) of the palmprint image.

[0046] (2a) Perform threshold segmentation on the palmprint image I(x, y) to obtain the palmprint binarized image I B (x,y):

[0047]

[0048] Among them, Th represents the gray threshold value, and the value is 20;

[0049] (2b) to palmprint binarization image I B (x, y) perform corrosion operation to obtain the corroded palmprint image I E (x,y), and then get the pa...

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Abstract

The invention discloses a method for quickly segmenting effective areas of online palmprints based on gradient direction templates. It mainly solves the problems of high time complexity and poor real-time performance of the existing online palmprint segmentation technology. The implementation steps are: (1) Input the training image, obtain the corrected gradient direction image, intercept the upper valley point submap and the lower valley point submap, add all the upper valley point submaps to obtain the upper template, and add all the lower valley point submaps to obtain the lower valley point submap Template; (2) Input the image to be tested to obtain the corrected gradient direction image, use the upper template and the lower template to perform template operation on the corrected gradient direction image, and take the maximum response point as the upper valley point and the lower valley point respectively; (3) the upper valley Point and valley point are the reference points to complete the palmprint segmentation. The invention utilizes the gradient direction information of palm outline points to realize rapid and accurate online palmprint effective area rapid segmentation, and can be used for identity verification in mobile devices.

Description

technical field [0001] The invention belongs to the technical field of image processing, relates to the extraction of valid areas of online palmprints, and can be used for identity verification in mobile devices. Background technique [0002] The extraction of effective area of ​​online palmprint is a very important step in the field of online palmprint recognition, which affects the recognition effect of online palmprint recognition, and inaccurate extraction may lead to matching errors. In the actual application system, the correct and efficient palmprint segmentation method is conducive to improving the speed and accuracy of the palmprint recognition system. Therefore, the effective online palmprint effective area extraction technology is conducive to improving the performance of other stages of the online palmprint recognition system. The existing online palmprint segmentation algorithms can be roughly divided into two types based on skin color ratio and based on palm s...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/1347G06V40/1365
Inventor 庞辽军赵伟强褚万星曹凯刘而云田捷
Owner XIDIAN UNIV
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