An identification method and system based on skin texture features
A technology of skin texture and identity recognition, which is applied in character and pattern recognition, instruments, digital data authentication, etc., and can solve problems such as refusal
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0074] figure 1 It is a flowchart of an identification method based on skin texture features according to Embodiment 1 of the present application.
[0075] Such as figure 1 As shown, the method includes the following steps:
[0076] Step 101: Obtain the skin texture image input by the user;
[0077] The skin texture image input by the user is acquired by performing image acquisition on a specific skin area.
[0078] Step 102: Determine the quality weighted value of the skin texture image;
[0079] Specifically, after acquiring the skin texture image input by the user, the quality of the skin texture image can be judged, and the corresponding image is assigned an image quality weighted value, the weighted value is any number between 0-1, including 0 and 1. Of course, in order to speed up the recognition speed, it is also possible to directly give the image quality a weighted value of 1 without going through the image quality judgment process. If the image quality is too p...
Embodiment 2
[0089] see figure 2 , is a flow chart of comparing a skin texture image with a template image disclosed in this application.
[0090] The method includes:
[0091] Step 201: performing Fourier transform on the skin texture image and the template image respectively to obtain two sets of corresponding values;
[0092] Step 202: Conjugate any set of values in the above two sets of values obtained after Fourier transform;
[0093] Step 203: performing dot multiplication operation on the conjugated value and another value obtained after Fourier transform, and normalizing the dot multiplied result;
[0094] Step 204: Calculate the inverse Fourier transform of the normalized dot product result, and calculate the maximum value after the absolute value, and determine the maximum value as the comparison result.
[0095] Through the skin texture image comparison method provided in this embodiment, the detection and analysis area with rich skin texture, less hair interference, and...
Embodiment 3
[0097] Such as image 3 , is another flow chart for comparing a skin texture image and a template image disclosed in this application.
[0098] The method includes:
[0099] Step 301: Extracting different skin texture features from the skin texture image;
[0100] Step 302: Constructing a feature vector from the plurality of different skin texture features;
[0101] Step 303: Extracting different skin texture features from the template image;
[0102] Step 304: Construct a template feature vector from a plurality of different skin texture features corresponding to the template image;
[0103] Step 305: comparing the feature vector with the template feature vector to obtain a feature-based comparison value;
[0104] Step 306: Normalize the feature-based comparison value, and determine the normalized feature-based comparison value as the comparison result.
[0105] Furthermore, the template feature vector in this application may also be pre-saved by the user, so that step 3...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com