Automatic identity discriminating method based on human-body physiological image sequencing estimating characteristic

A sorting measurement and human physiological technology, applied in the field of automatic identification based on human physiological images, can solve the problems of limited computing resources, storage resources, and unguaranteed quality of physiological images, and achieve fast calculation speed, low performance requirements, and stability Good performance and robustness

Active Publication Date: 2007-09-05
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF0 Cites 55 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the limitation of volume and energy, the computing resources and storage resources of t...

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
  • Automatic identity discriminating method based on human-body physiological image sequencing estimating characteristic
  • Automatic identity discriminating method based on human-body physiological image sequencing estimating characteristic
  • Automatic identity discriminating method based on human-body physiological image sequencing estimating characteristic

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0077] Example 1: Application of Physiological Image Recognition System in Automatic Entry-Exit Management

[0078] In June 2003, the United Nations International Civil Aviation Organization announced the application plan of biotechnology. The plan proposes that biometrics (fingerprint recognition, iris recognition, face recognition) will be added to personal passports and personal identification will be carried out when entering the borders of various countries. confirmation. Since there is no mature and common iris and face feature expression mode and feature template, in order to ensure the interoperability of the biological passport system between different countries, each country has to store the iris and face images of the holder in the passport , occupying hundreds of Kbytes of storage space. When Chinese Zhang San entered the US border with his passport, it took 5 seconds for the wireless card reader in the US biometric authentication system to read the face image in ...

Embodiment 2

[0079] Embodiment 2: Portable Physiological Image Recognition System

[0080] Policeman Li Si was patrolling the street and found Wang Wu sneaking around and acting suspiciously. So the police stopped Wang Wu, took out a portable physiological image recognition system that was only the size of a mobile phone, and pointed the camera at any part of Wang Wu's iris, face, palm print and skin on the back of the hand to take a quick photo. The sorting measurement characteristics of five, and then compare with the sorting measurement characteristics of 1,000,000 fugitives on the Internet (only taking up 100M of hard disk capacity) regularly updated in this machine. The system gave the recognition result after 3 seconds, which showed that the physiological characteristics of Wang Wu and the fugitive who committed a major crime in a certain place were very consistent. So Li Si took Wang Wu back to the police station, interrogated with the local criminal investigators where the case ha...

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

A method for automatically identifying status based on sequence measure character in human body physiological image includes preprocessing and normalizing collected physiological image, picking up sequence measure character in normalized image by multi-pole differential filter, coding sequence measure character to form two-valued character vector, calculating Hamming distance between character vectors in two frames of physiological images and judging whether two frame of physiological image are coming from one and the same person or not according to calculated Hamming distance.

Description

technical field [0001] The invention relates to biological feature identification, in particular to an automatic identification method based on human physiological images. Background technique [0002] An effective identification system or mechanism plays an important role in maintaining the fairness, security and stability of a society. In the digital age, the automatic identification of personal identity guarantees the convenience of personalized services, such as e-commerce, e-banking, e-wallet, e-customs clearance, e-education, e-ticketing, e-office, etc.; at the same time, identity authentication can effectively prevent personal identity Theft, such as credit card fraud, network hacking, access control (including physical access control and logical access control), etc.; more importantly, identification also plays an important role in national defense security and public safety, such as customs entry and exit identity checks, criminal cases detection, floating populati...

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): G06K9/00
Inventor 谭铁牛孙哲南李子青
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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