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

Human face recognition system

A face recognition system and face recognition technology, applied in character and pattern recognition, special data processing applications, instruments, etc., can solve the problems of face recognition power consumption and communication difficulties that affect the structural complexity, and achieve easy popularization and application. , the effect of reducing size and complexity

Inactive Publication Date: 2009-01-14
SHANGHAI ISVISION INTELLIGENT RECOGNITION TECH
View PDF0 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For the DSP-based embedded face recognition system, if it is to realize communication with other systems, such as various application systems, it is difficult to communicate directly, so it is necessary to build a large number of peripheral circuits (various interface points, Input and output circuits, etc.), thus affecting its structural complexity and power consumption during face recognition to a certain extent

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 system
  • Human face recognition system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] Such as figure 1 As shown, in one embodiment, the face recognition system of the present invention includes: a video input interface, which is used to enable the face recognition system to be connected to a face image data acquisition unit such as a camera to receive a face image data. The face recognition operation processor is used to process the received face image data and complete the recognition work; because the recognition operation process of face image data is relatively complicated, it generally includes: face data preprocessing (such as face image processing) Data format conversion, brightness adjustment, etc.), face detection (mainly used to determine the data representing the face in the face image data), face positioning (mainly used to locate the position of the organs in the face data) and face features Steps such as vector extraction, comparing with pre-saved features to judge whether the recognition is successful, etc., so in order to realize the who...

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 identification system which comprises a video input interface which is connected with a human face image data acquisition unit and used for receiving human face image data, a human face recognition arithmetic processor used for processing the received human face image data and finishing identification work, a microprocessor unit which is connected with the human face recognition arithmetic processor and used for being responsible for processing various external interfaces, and a communication interface used for being responsible for communication with various application equipment. The human face identification system lowers the complexity of the structure, reduces the size, enhances the stability and the reliability of the system simultaneously and further lowers the application threshold of human face identification, thus being easier to be popularized and applied.

Description

technical field [0001] The invention relates to a face recognition system, in particular to an embedded face recognition system. Background technique [0002] Compared with other human biometric identification technologies, face recognition technology has its unique advantages. It is fast, simple, non-invasive and does not require passive cooperation of people. Except for face recognition technology, other human body biometric recognition technologies are a kind of interference to people, and they all require passive cooperation of people. For example, fingerprint and palmprint recognition require people to put their hands on the glass surface, while iris recognition needs to irradiate people's eyes with laser light, voice recognition requires people to speak into a microphone, and handwriting recognition requires people to sign and so on. Face recognition does not need to interfere with people's behavior. It only needs a person to quickly walk in front of a camera, and his...

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): G06K9/00G06F17/00
Inventor 张青曾文斌陈振雄皮小平杨舟张震国舒小保
Owner SHANGHAI ISVISION INTELLIGENT RECOGNITION TECH
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

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