Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method and device for sex characteristic analysis based on footprint image

A feature analysis and footprint technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as lack of quantitative indicators and difficulty in inspecting personnel.

Active Publication Date: 2015-04-29
DALIAN EVERSPRY SCI & TECH
View PDF1 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The characteristics used for gender analysis based on footprint images include foot length, foot width, and uniformity of pressure distribution. It is relatively easy to measure foot length and foot width, and the uniformity of pressure distribution mainly depends on the subjective judgment of the inspector; and the combination of these features In use, there are mostly qualitative descriptions and lack of quantitative indicators, so it is difficult for ordinary inspectors to master this technology

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
  • Method and device for sex characteristic analysis based on footprint image
  • Method and device for sex characteristic analysis based on footprint image
  • Method and device for sex characteristic analysis based on footprint image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0084] Embodiment 1: a kind of method based on the gender feature analysis of footprint image, comprises the steps:

[0085] S1. Perform multi-layer pressure surface extraction on the footprint image;

[0086] S1.1. Preprocessing the barefoot or socks footprint image: filter the barefoot or socks footprint image, the image filtering formula is as follows:

[0087] I=F*G

[0088] I(i,j)=Σ m Σ n F(i,j)G(i-m,j-n) (7)

[0089] Among them, * represents convolution, F represents the original shoe footprint image, G represents the filter, I represents the filtered footprint image, (i, j) represents the current pixel position, m and n represent the filter window in the x and y directions respectively the size of;

[0090] S1.2. Pressure surface extraction:

[0091] S1.2.1. Perform bilateral filtering operation on the preprocessed footprint image, which can be expressed by the following formula:

[0092] I F = 1 ...

Embodiment 2

[0119] Embodiment 2: The same technical solution as Embodiment 1, the difference is that step S3.1 is replaced by:

[0120] Mathematical modeling of gender versus footprint aspect ratio:

[0121] Footprint aspect ratio r = foot length / foot width (3)

[0122] The length-to-width ratios of male and female footprints are respectively subject to normal distribution and The overall G 3 , G 4 , where μ 3 , μ 4 G respectively 3 , G 4 the mean value of G respectively 3 , G 4 Variance; refer to the formula (1) to calculate the test footprint aspect ratio and the overall G 3 , G 4 Mahalanobis distance d 3 、d 4 ;

[0123] r ∈ G 3 , d 3 ≤ d 4 ...

Embodiment 3

[0126] Embodiment 3: The same technical solution as Embodiment 1, the difference is that step S3.1 is replaced by:

[0127] Establish a mathematical model of gender and the pressure change rate between adjacent layers of a multi-layer pressure surface: denote S i , i=1, 2,..., n, is the area of ​​the footprint pressure surface of the i-th layer, and the relative change rate of the footprint pressure surface area between adjacent layers

[0128] ΔS i =(S i+1 -S i ) / S i , i=1, 2, ..., n-1 (5)

[0129] Its coefficient of variation is

[0130] cv=σ / μ (6)

[0131] Among them, μ and σ are respectively (ΔS i ) mean and variance;

[0132] Generally speaking, the plantar pressure distribution of women is uniform, so the relative change rate of the pressure surface area between the corresponding adjacent layers is relatively stable, that is, the coefficient of variation is small, given the threshold T=0.3, the coefficient of variation cv is greater than the threshold T, Then it...

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 and a device for sex characteristic analysis based on a footprint image, belonging to the field of criminal investigation. The method disclosed by the invention comprises the steps of S1. carrying out multi-layer pressure surface extraction on the footprint image; S2. at least obtaining the footprint form structural characteristics including the foot length, the foot width and the areas of various pressure surfaces according to multi-layer pressure surface images of the footprint; and S3. establishing a mathematical model among the footprint form structural characteristics and sexes, and inputting the form structural characteristics into the mathematical model so as to obtain the sex characteristics of a footprint owner. According to the method, sex characteristic analysis can be automatically realized; and sex characteristic analysis is steady and precise.

Description

technical field [0001] The invention relates to the technical fields of digital image processing, computer vision and criminal investigation, in particular to a method and device for analyzing gender characteristics based on footprint images. Background technique [0002] Footprints are one of the four most common traces of "hand, foot, gun" in criminal investigation and handling cases. With the change of crime forms and the increasingly intelligent characteristics of crimes, the perpetrators' awareness of anti-reconnaissance is getting stronger and stronger, and the number of handprints that can be extracted from crime scenes is greatly reduced. Therefore, footprint analysis is becoming more and more important in the process of investigating and solving crimes. more prominent. Under the influence of the current complex social environment, female crimes caused by various reasons are on the rise. Therefore, it is particularly important to use footprints to accurately analyze...

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 Applications(China)
IPC IPC(8): G06K9/00G06K9/46
CPCG06V40/1347G06V10/464G06V10/462
Inventor 陈伟卿何晓光金玮
Owner DALIAN EVERSPRY SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products