Method for quickly segmenting effective region of palmprint on line based on direction detection

A technology of direction detection and effective area, applied in the field of identity verification, can solve problems such as slow implementation, and achieve the effect of improving speed

Active Publication Date: 2015-03-04
XIDIAN UNIV
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Problems solved by technology

The problem with this method is that each point on the contour requires complex geometric calculations, so it is relatively slow to implement

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  • Method for quickly segmenting effective region of palmprint on line based on direction detection
  • Method for quickly segmenting effective region of palmprint on line based on direction detection
  • Method for quickly segmenting effective region of palmprint on line based on direction detection

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Embodiment Construction

[0035] Combine below figure 1 The technical content and effects of the present invention are further described in detail.

[0036] refer to figure 1 , the implementation steps of the present invention include as follows:

[0037] Step 1, input palmprint image I(x,y).

[0038] 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.

[0039] Step 2, obtain the palm contour image Edg(x,y) of the palmprint image.

[0040] (2a) Perform threshold segmentation on the palmprint image I(x, y) to obtain the palmprint binarized image I B (x,y):

[0041]

[0042] Among them, Th represents the gray threshold value, and the value is 20;

[0043] (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 p...

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Abstract

The invention discloses a method for quickly segmenting an effective region of a palmprint on line based on direction detection, and mainly overcomes the deficiencies of high time complexity and poor real-time property of an existing online palmprint segmentation technology. The method comprises the following steps: 1, inputting a palmprint image and calculating the palm direction by gradient of a profile; 2, correcting the palmprint image and selecting alternative points by the gradient direction of the corrected profile; 3, performing hierarchical clustering on the alternative points until three types of alternative points are clustered, and confirming the position of a valley point by a position relationship among the centers of the three types of alternative points; 4, finishing palmprint segmentation by taking the valley point as a reference point. According to the method, the speed of segmenting the effective region of the palmprint on line is increased by a relation of the gradient direction of the profile point of the palm and the palm direction; the method can be used for identity verification in mobile equipment.

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 involves 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 ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/00
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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