Supercharge Your Innovation With Domain-Expert AI Agents!

Image processing system and image processing method capable of improving face identification rate

A face recognition system and image processing technology, applied in the field of image processing systems to achieve the effect of improving the probability of success

Inactive Publication Date: 2014-12-03
ASUSTEK COMPUTER INC
View PDF8 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In order to solve the above problems, relevant fields have tried their best to find a solution, but no applicable method has been developed for a long time.

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
  • Image processing system and image processing method capable of improving face identification rate
  • Image processing system and image processing method capable of improving face identification rate
  • Image processing system and image processing method capable of improving face identification rate

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] In order to make the description of the present invention more detailed and complete, reference may be made to the drawings and various embodiments described below, and the same numbers in the drawings represent the same or similar elements. On the other hand, well-known elements and steps have not been described in the embodiments in order to avoid unnecessarily limiting the invention.

[0016] As used herein, "about", "approximately" or "approximately" is used to modify any quantity which may vary slightly, but which does not change its essence. Unless otherwise specified in the embodiments, it means that the error range of the numerical value modified by "about", "approximately" or "approximately" is generally allowed to be within 20%, preferably within 10%. Within, and better still within five percent.

[0017] figure 1 It is a flow chart of an image processing method 100 for improving the face recognition rate according to an embodiment of the present invention. ...

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 an image processing system and an image processing method, which are capable of improving a face identification rate. The method includes the following steps: firstly, acquiring an image which includes a face; next, carrying out face detection on a default zone in the image; when face detection cannot be completed, adjusting an exposure value of the default zone so as to enable the exposure value of the default zone to conform to an expectation value; when the luminance of the default zone conforms to the expectation value and the face detection is completed, analyzing image information in a face zone of the image; and next, according to the image information, selecting a model parameter and an image adjustment parameter corresponding to the model parameter and carrying out image processing on the face zone in the image and then outputting the processed image to the face identification system. Through the technical scheme, an image which is acquired under a backlight or low-illuminance environment can be enhanced to a bright and clear output image so as to be used by a rear-end face identification system so that the successful detection and identification rate can be improved significantly.

Description

technical field [0001] The invention relates to an image processing system, in particular to an image processing system and an image processing method for improving the face recognition rate. Background technique [0002] Portrait face recognition technology can be applied to human computer interface (human computer interface), home video surveillance (home video surveillance) or biometric face recognition and its image database management technology. It plays an increasingly important role in the industry, and it is also one of the technologies that major science and technology research centers are currently working on. However, face recognition is difficult and has many variables. For example, in a backlit or low-light environment, a face recognition system often cannot collect enough biometric data. [0003] It can be seen that the current portrait face recognition technology is not yet fully mature, and needs to be further improved. In order to solve the above problems...

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
IPC IPC(8): G06K9/00G06T5/00
Inventor 郭修瑞刘育诚郑义锜
Owner ASUSTEK COMPUTER INC
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More