Unlock instant, AI-driven research and patent intelligence for your innovation.

A Fast Segmentation Method of Online Palmprint Effective Area Based on Direction Detection

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

Active Publication Date: 2017-03-29
XIDIAN UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Fast Segmentation Method of Online Palmprint Effective Area Based on Direction Detection
  • A Fast Segmentation Method of Online Palmprint Effective Area Based on Direction Detection
  • A Fast Segmentation Method of Online Palmprint Effective Area Based on Direction Detection

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method for quickly segmenting effective areas of online palmprints based on direction detection. 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 palmprint image, and calculate the palm direction by using the outline gradient; 2. Correct the palmprint image, and use the gradient direction of the corrected outline to select candidate points; 3. Perform hierarchical clustering on the candidate points, clustering Up to the third category, and then use the positional relationship of the centers of these three categories to determine the position of the valley point; 4. Complete the palmprint segmentation with the valley point as the reference point. The present invention utilizes the relationship between the gradient direction of the palm outline point and the palm direction, improves the speed of online palmprint effective area 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 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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/11G06K9/00
CPCG06V40/1347G06V40/1365
Inventor 庞辽军赵伟强褚万星曹凯刘而云田捷
Owner XIDIAN UNIV