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

A face recognition method and device

A target recognition and face technology, applied in the field of face recognition, can solve problems such as the decline of recognition performance, poor recognition performance of face recognition system, and affect the recognition performance of face recognition system, so as to achieve the effect of improving environmental adaptability

Inactive Publication Date: 2019-06-11
湖南人人安居科技有限公司
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] For existing face recognition systems, illumination changes are a major factor affecting system recognition performance. When the illumination during recognition is inconsistent with the illumination conditions during user registration, it usually causes a significant decline in recognition performance; and in some Under special circumstances, the recognition device in the recognition system may be irradiated by strong light such as sunlight, resulting in the recognition device not receiving any lighting information fed back from the face in this case, which greatly affects the recognition performance of the face recognition system
[0004] Aiming at the problem that the existing face recognition system has poor recognition performance under strong light, no effective solution has been proposed so far

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 face recognition method and device
  • A face recognition method and device
  • A face recognition method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] see figure 1 A flow chart of a face recognition method shown, the method includes the following steps:

[0027] Step S102, acquiring the reflection signal of the face of the target recognition object; wherein, the reflection signal includes an optical signal and an ultrasonic signal;

[0028] The above-mentioned optical signal and ultrasonic signal are emitted by the relevant light generating device or ultrasonic generating device, and after propagating to the human face, the optical or ultrasonic reflected signal appears; the reflected signal has the characteristic information of the human face, so it can be carried out according to the reflected signal. face recognition.

[0029]Step S104, performing feature extraction processing on the above-mentioned reflection signal to generate actual feature data of the face; wherein the actual feature data includes actual feature data of the optical signal and actual feature data of the ultrasonic signal;

[0030] In actual im...

Embodiment 2

[0046] Corresponding to the above-mentioned method embodiment 1, the embodiment of the present invention provides a face recognition device, see image 3 A schematic structural diagram of a face recognition device shown, the device includes the following parts:

[0047] A signal acquisition module 302, configured to acquire a reflection signal of the face of the target identification object; wherein the reflection signal includes an optical signal and an ultrasonic signal;

[0048] The feature extraction module 304 is connected with the above-mentioned signal acquisition module 302, and is used to perform feature extraction processing on the reflected signal to generate the actual feature data of the face; wherein the actual feature data includes the actual feature data of the optical signal and the actual feature data of the ultrasonic signal ;

[0049] The comparison module 306 is connected with the above-mentioned feature extraction module 304, and is used to compare the a...

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 present invention provides a face recognition method and device, wherein the method includes: acquiring the reflection signal of the face of the target recognition object; wherein the reflection signal includes an optical signal and an ultrasonic signal; performing feature extraction processing on the reflection signal to generate a face The actual feature data; compare the actual feature data with the ideal feature data in the pre-established feature database to confirm the identity information of the target identification object; wherein, the feature database includes the identity information of the specified user and the ideal feature corresponding to the identity information data; the ideal feature data includes optical feature data and ultrasonic feature data corresponding to the specified user's face. By combining the optical signal and the ultrasonic signal, the present invention can extract the characteristic data of the target identification object through the ultrasonic signal when the optical signal is weak when the strong light is irradiated, so as to realize all-weather face recognition and improve the face recognition. The environmental adaptability of the identification method.

Description

technical field [0001] The present invention relates to the technical field of face recognition, in particular to a face recognition method and device. Background technique [0002] Face recognition is a biometric technology for identification based on human facial feature information; face recognition technology usually uses cameras or cameras to collect images or video streams containing faces, and automatically detects and tracks people in the images face, and then perform a series of face-related processing on the detected face. [0003] For existing face recognition systems, illumination changes are a major factor affecting system recognition performance. When the illumination during recognition is inconsistent with the illumination conditions during user registration, it usually causes a significant decline in recognition performance; and in some Under special circumstances, the recognition device in the recognition system may be irradiated by strong light such as sun...

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): G06K9/00
CPCG06V40/168
Inventor 陶利
Owner 湖南人人安居科技有限公司
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