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A Hand Type Classification Method Based on Image Processing

A classification method and image processing technology, applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve the problems of strong subjectivity of manual observation, time-consuming and labor-intensive errors of manual measurement, inconsistent standards, etc., and achieve objective hand type classification Method, the effect of improving the accuracy of gesture recognition

Inactive Publication Date: 2021-05-18
HARBIN UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] It can be seen that the application prospect of hand type classification is very broad. The traditional hand type classification method mainly relies on manual measurement or manual observation. , accurate and objective hand classification method is particularly important

Method used

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  • A Hand Type Classification Method Based on Image Processing
  • A Hand Type Classification Method Based on Image Processing
  • A Hand Type Classification Method Based on Image Processing

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specific Embodiment approach 1

[0043] The present invention first provides a hand type classification method based on image processing, such as figure 1 As shown, the specific method is as follows:

[0044] Step 1, image acquisition is performed on the hand of the subject to obtain a complete hand image;

[0045] Step 2, building a skin color model for the collected hand image and selecting a threshold for binarization, and storing the obtained hand binarized image;

[0046] Step 3, edge detection is performed on the binarized image obtained in step 2, and the obtained palm outline image is stored, and one of the acquisition methods can be realized by the Canny operator in OpenCV;

[0047] Step 4, performing an open operation on the palm contour image obtained in step 3 to obtain a smooth palm contour image;

[0048] Step 5. Calculate the length of the palm respectively (L 1 ), the length of the middle finger (L 2 ) and palm width (L 3 );

[0049] Step 6, use type to represent the characteristic value...

specific Embodiment approach 2

[0052] The difference from the specific embodiment 1 is that in this embodiment, a hand type classification method based on image processing, the schematic diagram of the shooting system used for the hand image acquisition of the subject in the step 1 is as follows: figure 2 As shown, the specific shooting method is as follows: Let the five fingers of the right hand of the volunteers open naturally, and place the palms down in the designated frame on the table. , to obtain the hand image, and adopt uniform size image resolution when collecting the image of the subject's hand.

specific Embodiment approach 3

[0054] On the basis of specific embodiment one, L 1 , L 2 and L 3 specific measurement methods such as image 3 As shown, the measurement flow chart is as follows Figure 4 shown.

[0055] Measure L 1 , L 2 and L 3 The method is:

[0056] a) Obtain the convex hull of the outer contour of the entire hand. In image processing, the convex hull can be regarded as a convex set surrounding the outermost layer of the image, and one of the acquisition methods can be realized by the convexHull function in OpenCV;

[0057] b) Determining the convex hull defect (A 2 ) and defect origin (A 1 );

[0058] c) Find the relative position of the palm and fingers, and calibrate the center point of the palm (A 0 ) and profile (B 1 );

[0059] d) Use the center point of the palm and the radius of the palm to obtain the coordinates of the lowest point of the palm outline, and eliminate the part of the wrist image below the lowest point;

[0060] e) Get middle finger tip A 1 , the lo...

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Abstract

The invention discloses a hand type classification method based on image processing, and in particular relates to hand image processing technology. The method includes: acquiring the hand image of the subject; establishing a skin color model and selecting a threshold to binarize the image; performing edge detection on the binary image, and storing the obtained palm contour image; performing an open operation on the palm contour image to obtain a smooth The palm contour image; find out the convex hull of the palm contour, and calculate the length of the palm ( L 1 ), the length of the middle finger ( L 2 ) and palm width ( L 3 ); Calculate the hand feature value type ; According to the threshold value, it is determined that the subject's hand type is one of three hand types: slender, normal, and chubby. The invention solves the problems that the traditional hand type classification method mainly relies on manual measurement or manual observation, which is time-consuming and labor-intensive with large errors, and manual observation is highly subjective and inconsistent in standards, and provides a fast, accurate and objective hand type classification method. type classification method.

Description

technical field [0001] The invention relates to a hand type classification method based on image processing, in particular to image processing technology and calculation of hand feature values. Background technique [0002] In the past few decades, computer technology has developed rapidly, and people in all walks of life have become more and more dependent on computers. Therefore, the information interaction between human and computer has been paid more and more attention. Nowadays, the form of human-computer interaction has entered the multi-channel and multi-modal stage, and gesture recognition is a mainstream trend at this stage. However, the current gesture recognition algorithms directly extract the user's gesture features, ignoring the differences between each person's hand shape. When different hand types use the same standard value, erroneous judgments may occur. If the hand type of the user can be judged before performing gesture recognition, and then the gesture...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/113G06F18/2415
Inventor 王鹏刘尚昆宋成伟李翰堂刘铖胡振东
Owner HARBIN UNIV OF SCI & TECH
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