Human face recognition optimization method and system based on mobile terminal

A face recognition and mobile terminal technology, which is applied in the field of face recognition optimization methods and systems, can solve the problems of not many, cannot guarantee security, and cannot perform 3D face recognition, and achieves the effect of improving security.

Inactive Publication Date: 2016-12-07
HUIZHOU TCL MOBILE COMM CO LTD
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, face recognition technology is not widely used in mobile phones and tablet computers. One of the important reasons is that current cameras only support flat face recognition, but cannot perform 3D face recognition.
This will lead to the use of photos or videos to crack the face, and the security cannot be guaranteed

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
  • Human face recognition optimization method and system based on mobile terminal
  • Human face recognition optimization method and system based on mobile terminal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] In order to make the object, technical solution and advantages of the present invention more clear and definite, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0029] See figure 1 , figure 1 It is a flow chart of a preferred embodiment of the mobile terminal-based face recognition optimization method of the present invention. A face recognition optimization method based on a mobile terminal, including:

[0030] Step S10, pre-setting an infrared module on the mobile terminal for detecting whether there is infrared heat.

[0031] Before the specific implementation of the present invention, an infrared module for detecting whether there is infrared thermal sensation needs to be installed on the mobile terminal mobile phone. Of course, if the mo...

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 human face recognition optimization method and system based on a mobile terminal, and the method comprises the steps: judging a thermal inductance phenomenon of an object when human face recognition needs to be carried out, and detecting whether infrared thermal inductance is generated or not, so as to judge whether there are the characteristics of a real human face or not; carrying out the prompt that the human face recognition is not successful if the recognized object is detected to have no infrared thermal inductance phenomenon, which also means that an object figure does not have the characteristics of a real person; and carrying out the control and human face recognition if the recognized object is detected to have an infrared thermal inductance phenomenon, which also means that the object figure has the characteristics of the real person. An infrared module is employed for judging whether the object figure has the infrared thermal inductance phenomenon, and the operation of the whole infrared module can be completed in a millisecond, thereby causing no impact on the efficiency of the whole human face recognition system. The method improves the safety of human face recognition.

Description

technical field [0001] The present invention relates to the field of mobile terminals, in particular to a face recognition optimization method and system based on a mobile terminal. Background technique [0002] Face recognition technology has gradually matured, and there are many applications in banking, customs and other systems. However, face recognition technology is not widely used in mobile phones and tablet computers. One of the most important reasons is that current cameras only support plane face recognition, but cannot perform 3D face recognition. This will lead to the use of photos or videos to crack the face, and the security cannot be guaranteed. [0003] Therefore, the prior art still needs to be improved and developed. Contents of the invention [0004] The technical problem to be solved by the present invention is to provide a face recognition optimization method and system based on a mobile terminal in view of the above-mentioned defects of the prior art...

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): G06K9/00G06V10/143
CPCG06V40/166G06V40/172G06V10/143G06F9/542G06T7/0002G06T2207/10048
Inventor 尤雅各张明秋
Owner HUIZHOU TCL MOBILE COMM CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap