Unlock instant, AI-driven research and patent intelligence for your innovation.

Living body detection method and system

A living, to-be-detected technology, used in spoofing detection, character and pattern recognition, image data processing, etc., can solve problems such as time-consuming and inappropriate

Pending Publication Date: 2020-10-23
HANGZHOU HIKVISION DIGITAL TECH
View PDF20 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] This method is based on facial heat information for temperature measurement and respiratory rate prediction, which takes a long time and is not suitable for real-time face liveness detection. Not applicable

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
  • Living body detection method and system
  • Living body detection method and system
  • Living body detection method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0073] One of the implementations, see figure 2 as shown, figure 2 A schematic representation of the valid rectangular area. Get the left eye pupil coordinates, right eye pupil coordinates, left mouth corner coordinates, and right mouth corner coordinates in the face image, calculate the mean of the four coordinates, and get the center of the face.

[0074] Expressed mathematically as:

[0075] fc_x=(eyel_x+eyer_x+mouthl_x+mouthr_x) / 4

[0076] fc_y=(eyel_y+eyer_y+mouthl_y+mouthr_y) / 4

[0077] Among them, the coordinates of the center of the face are (fc_x, fc_y), the coordinates of the left eye pupil are (eyel_x, eyel_y), the coordinates of the right eye pupil are (eyer_x, eyer_y), the coordinates of the left mouth corner are (mouthl_x, mouthl_y), and the coordinates of the right mouth corner are (mouthr_x , mouthr_y).

[0078] The width of twice the distance between pupils (interpupillary distance) is used as the effective rectangular area ( figure 2 The width of the...

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 living body detection method. The method comprises the steps of collecting a visible light image and a thermal imaging image of a to-be-detected target at the same moment, determining corresponding positions between pixels of the visible light image and pixels of the thermal imaging image, and judging whether the to-be-detected target is a living body or not based on thevisible light image and the thermal imaging image of a position area corresponding to the determined pixels. Under the condition that the detection accuracy is not reduced, the real-time performance of living body detection is improved.

Description

technical field [0001] The present invention relates to the field of image recognition and detection, in particular, to a living body detection method. Background technique [0002] Living body recognition detection is mainly carried out by identifying the biometric information on the living body. It uses the biometric information as a vital feature to distinguish biometrics forged with non-living substances such as photos, silica gel, and plastics. In layman's terms, in the process of recognition and detection, it is determined that the detected target is indeed a "living body", not a photo, video or anything else. [0003] A face detection method whose publication number is CN109446981A, the method obtains the face image of the object to be detected, and the face image includes a thermal infrared face image and a visible light face image; the face is detected from the visible light face image area; and then obtain facial heat information according to the corresponding pos...

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): G06K9/00G06K9/32G06T7/80
CPCG06T7/80G06V40/161G06V40/45G06V10/25
Inventor 任志浩
Owner HANGZHOU HIKVISION DIGITAL TECH